Training in progress, epoch 9, checkpoint
Browse files- checkpoint-32391/README.md +1 -1
- checkpoint-32391/adapter_config.json +2 -4
- checkpoint-32391/adapter_model.safetensors +1 -1
- checkpoint-32391/optimizer.pt +2 -2
- checkpoint-32391/rng_state_0.pth +2 -2
- checkpoint-32391/rng_state_1.pth +2 -2
- checkpoint-32391/rng_state_2.pth +2 -2
- checkpoint-32391/rng_state_3.pth +2 -2
- checkpoint-32391/rng_state_4.pth +2 -2
- checkpoint-32391/rng_state_5.pth +2 -2
- checkpoint-32391/rng_state_6.pth +2 -2
- checkpoint-32391/rng_state_7.pth +2 -2
- checkpoint-32391/scheduler.pt +2 -2
- checkpoint-32391/trainer_state.json +368 -369
- checkpoint-32391/training_args.bin +2 -2
checkpoint-32391/README.md
CHANGED
|
@@ -199,4 +199,4 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
|
|
| 199 |
[More Information Needed]
|
| 200 |
### Framework versions
|
| 201 |
|
| 202 |
-
- PEFT 0.
|
|
|
|
| 199 |
[More Information Needed]
|
| 200 |
### Framework versions
|
| 201 |
|
| 202 |
+
- PEFT 0.14.0
|
checkpoint-32391/adapter_config.json
CHANGED
|
@@ -3,7 +3,6 @@
|
|
| 3 |
"auto_mapping": null,
|
| 4 |
"base_model_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base",
|
| 5 |
"bias": "none",
|
| 6 |
-
"corda_config": null,
|
| 7 |
"eva_config": null,
|
| 8 |
"exclude_modules": null,
|
| 9 |
"fan_in_fan_out": false,
|
|
@@ -24,11 +23,10 @@
|
|
| 24 |
"rank_pattern": {},
|
| 25 |
"revision": null,
|
| 26 |
"target_modules": [
|
| 27 |
-
"
|
| 28 |
-
"
|
| 29 |
],
|
| 30 |
"task_type": "CAUSAL_LM",
|
| 31 |
-
"trainable_token_indices": null,
|
| 32 |
"use_dora": false,
|
| 33 |
"use_rslora": false
|
| 34 |
}
|
|
|
|
| 3 |
"auto_mapping": null,
|
| 4 |
"base_model_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base",
|
| 5 |
"bias": "none",
|
|
|
|
| 6 |
"eva_config": null,
|
| 7 |
"exclude_modules": null,
|
| 8 |
"fan_in_fan_out": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
+
"v_proj",
|
| 27 |
+
"q_proj"
|
| 28 |
],
|
| 29 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"use_dora": false,
|
| 31 |
"use_rslora": false
|
| 32 |
}
|
checkpoint-32391/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 268636736
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fa77979c1338f0e5aaadde6fcc4c8d3546a9776c0300b343cdfc819a7203b165
|
| 3 |
size 268636736
|
checkpoint-32391/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a858bcc6a44ea96ab1945ddf226f3ce2766f800a01f06327d0a2630ceea2b09b
|
| 3 |
+
size 12663802
|
checkpoint-32391/rng_state_0.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:76b32d09a1883ad1c756dcc344184725264d3a6b881c334469a2deb7bc865e1b
|
| 3 |
+
size 15984
|
checkpoint-32391/rng_state_1.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d9869aa141ea6e4d7356b2e53065da5698b2016a95015b3b066b99931f0cc04f
|
| 3 |
+
size 15984
|
checkpoint-32391/rng_state_2.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:046406ffe03a772d5f2323d116cc759fd0519bed354740f6eabfff368049c076
|
| 3 |
+
size 15984
|
checkpoint-32391/rng_state_3.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3439b8f870442ae79e732f10dfcc3fa7379ff6477fb60bc395f1677d9e9bc6d7
|
| 3 |
+
size 15984
|
checkpoint-32391/rng_state_4.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c0a872c73196b795a3d2a172f8c0b57f477b546f74fc24b1384275c69bf42da7
|
| 3 |
+
size 15984
|
checkpoint-32391/rng_state_5.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7bbe7a052a0e5a7234bf6bce6821051a71cf85e4b561b98b5fbe2110f0434bdf
|
| 3 |
+
size 15984
|
checkpoint-32391/rng_state_6.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec92094cfa8a5cd3e8602ab3b105cbb06d93f04acd00270ba605daf32c02beaf
|
| 3 |
+
size 15984
|
checkpoint-32391/rng_state_7.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:499ec2a203ee5c5c50787874545bdc219bffabfe56927e72cb6ea1c6f20b998e
|
| 3 |
+
size 15984
|
checkpoint-32391/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:970c1967a44b52c9683d7a838c466a40332395dcc79a19cecd04df4b17d1e9a8
|
| 3 |
+
size 1064
|
checkpoint-32391/trainer_state.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
"epoch": 9.0,
|
|
@@ -11,802 +10,802 @@
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.13892747985551543,
|
| 14 |
-
"grad_norm": 0.
|
| 15 |
-
"learning_rate": 0.
|
| 16 |
-
"loss": 0.
|
| 17 |
"step": 500
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.2000555709919422,
|
| 21 |
-
"eval_loss": 0.
|
| 22 |
-
"eval_runtime":
|
| 23 |
-
"eval_samples_per_second":
|
| 24 |
-
"eval_steps_per_second": 6.
|
| 25 |
"step": 720
|
| 26 |
},
|
| 27 |
{
|
| 28 |
"epoch": 0.27785495971103086,
|
| 29 |
-
"grad_norm": 0.
|
| 30 |
-
"learning_rate": 0.
|
| 31 |
-
"loss": 0.
|
| 32 |
"step": 1000
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 0.4001111419838844,
|
| 36 |
-
"eval_loss": 0.
|
| 37 |
-
"eval_runtime": 4.
|
| 38 |
-
"eval_samples_per_second":
|
| 39 |
-
"eval_steps_per_second":
|
| 40 |
"step": 1440
|
| 41 |
},
|
| 42 |
{
|
| 43 |
"epoch": 0.41678243956654626,
|
| 44 |
-
"grad_norm": 0.
|
| 45 |
-
"learning_rate": 0.
|
| 46 |
-
"loss": 0.
|
| 47 |
"step": 1500
|
| 48 |
},
|
| 49 |
{
|
| 50 |
"epoch": 0.5557099194220617,
|
| 51 |
-
"grad_norm": 0.
|
| 52 |
-
"learning_rate": 0.
|
| 53 |
-
"loss": 0.
|
| 54 |
"step": 2000
|
| 55 |
},
|
| 56 |
{
|
| 57 |
"epoch": 0.6001667129758266,
|
| 58 |
-
"eval_loss": 0.
|
| 59 |
-
"eval_runtime":
|
| 60 |
-
"eval_samples_per_second":
|
| 61 |
-
"eval_steps_per_second":
|
| 62 |
"step": 2160
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 0.6946373992775771,
|
| 66 |
-
"grad_norm":
|
| 67 |
-
"learning_rate": 0.
|
| 68 |
-
"loss": 0.
|
| 69 |
"step": 2500
|
| 70 |
},
|
| 71 |
{
|
| 72 |
"epoch": 0.8002222839677688,
|
| 73 |
-
"eval_loss": 0.
|
| 74 |
-
"eval_runtime":
|
| 75 |
-
"eval_samples_per_second":
|
| 76 |
-
"eval_steps_per_second":
|
| 77 |
"step": 2880
|
| 78 |
},
|
| 79 |
{
|
| 80 |
"epoch": 0.8335648791330925,
|
| 81 |
-
"grad_norm": 0.
|
| 82 |
-
"learning_rate": 0.
|
| 83 |
-
"loss": 0.
|
| 84 |
"step": 3000
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"epoch": 0.972492358988608,
|
| 88 |
-
"grad_norm": 0.
|
| 89 |
-
"learning_rate": 0.
|
| 90 |
-
"loss": 0.
|
| 91 |
"step": 3500
|
| 92 |
},
|
| 93 |
{
|
| 94 |
"epoch": 1.000277854959711,
|
| 95 |
-
"eval_loss": 0.
|
| 96 |
-
"eval_runtime":
|
| 97 |
-
"eval_samples_per_second":
|
| 98 |
-
"eval_steps_per_second":
|
| 99 |
"step": 3600
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 1.1114198388441234,
|
| 103 |
-
"grad_norm": 0.
|
| 104 |
-
"learning_rate": 0.
|
| 105 |
-
"loss": 0.
|
| 106 |
"step": 4000
|
| 107 |
},
|
| 108 |
{
|
| 109 |
"epoch": 1.2003334259516532,
|
| 110 |
-
"eval_loss": 0.
|
| 111 |
-
"eval_runtime":
|
| 112 |
-
"eval_samples_per_second":
|
| 113 |
-
"eval_steps_per_second":
|
| 114 |
"step": 4320
|
| 115 |
},
|
| 116 |
{
|
| 117 |
"epoch": 1.2503473186996388,
|
| 118 |
-
"grad_norm": 0.
|
| 119 |
-
"learning_rate": 0.
|
| 120 |
-
"loss": 0.
|
| 121 |
"step": 4500
|
| 122 |
},
|
| 123 |
{
|
| 124 |
"epoch": 1.3892747985551543,
|
| 125 |
-
"grad_norm": 0.
|
| 126 |
-
"learning_rate": 0.
|
| 127 |
-
"loss": 0.
|
| 128 |
"step": 5000
|
| 129 |
},
|
| 130 |
{
|
| 131 |
"epoch": 1.4003889969435954,
|
| 132 |
-
"eval_loss": 0.
|
| 133 |
-
"eval_runtime": 4.
|
| 134 |
-
"eval_samples_per_second":
|
| 135 |
-
"eval_steps_per_second":
|
| 136 |
"step": 5040
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 1.5282022784106695,
|
| 140 |
-
"grad_norm": 0.
|
| 141 |
-
"learning_rate": 0.
|
| 142 |
-
"loss": 0.
|
| 143 |
"step": 5500
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"epoch": 1.6004445679355377,
|
| 147 |
-
"eval_loss": 0.
|
| 148 |
-
"eval_runtime": 4.
|
| 149 |
-
"eval_samples_per_second":
|
| 150 |
-
"eval_steps_per_second": 6.
|
| 151 |
"step": 5760
|
| 152 |
},
|
| 153 |
{
|
| 154 |
"epoch": 1.667129758266185,
|
| 155 |
-
"grad_norm":
|
| 156 |
-
"learning_rate": 0.
|
| 157 |
-
"loss": 0.
|
| 158 |
"step": 6000
|
| 159 |
},
|
| 160 |
{
|
| 161 |
"epoch": 1.8005001389274797,
|
| 162 |
-
"eval_loss": 0.
|
| 163 |
-
"eval_runtime":
|
| 164 |
-
"eval_samples_per_second":
|
| 165 |
-
"eval_steps_per_second":
|
| 166 |
"step": 6480
|
| 167 |
},
|
| 168 |
{
|
| 169 |
"epoch": 1.8060572381217006,
|
| 170 |
-
"grad_norm": 0.
|
| 171 |
-
"learning_rate": 0.
|
| 172 |
-
"loss": 0.
|
| 173 |
"step": 6500
|
| 174 |
},
|
| 175 |
{
|
| 176 |
"epoch": 1.9449847179772157,
|
| 177 |
-
"grad_norm": 0.
|
| 178 |
-
"learning_rate": 0.
|
| 179 |
-
"loss": 0.
|
| 180 |
"step": 7000
|
| 181 |
},
|
| 182 |
{
|
| 183 |
"epoch": 2.000555709919422,
|
| 184 |
-
"eval_loss": 0.
|
| 185 |
-
"eval_runtime":
|
| 186 |
-
"eval_samples_per_second":
|
| 187 |
-
"eval_steps_per_second":
|
| 188 |
"step": 7200
|
| 189 |
},
|
| 190 |
{
|
| 191 |
"epoch": 2.0839121978327313,
|
| 192 |
-
"grad_norm": 0.
|
| 193 |
-
"learning_rate": 0.
|
| 194 |
-
"loss": 0.
|
| 195 |
"step": 7500
|
| 196 |
},
|
| 197 |
{
|
| 198 |
"epoch": 2.2006112809113643,
|
| 199 |
-
"eval_loss": 0.
|
| 200 |
-
"eval_runtime":
|
| 201 |
-
"eval_samples_per_second":
|
| 202 |
-
"eval_steps_per_second":
|
| 203 |
"step": 7920
|
| 204 |
},
|
| 205 |
{
|
| 206 |
"epoch": 2.222839677688247,
|
| 207 |
-
"grad_norm": 0.
|
| 208 |
-
"learning_rate": 0.
|
| 209 |
-
"loss": 0.
|
| 210 |
"step": 8000
|
| 211 |
},
|
| 212 |
{
|
| 213 |
"epoch": 2.361767157543762,
|
| 214 |
-
"grad_norm": 0.
|
| 215 |
-
"learning_rate": 0.
|
| 216 |
-
"loss": 0.
|
| 217 |
"step": 8500
|
| 218 |
},
|
| 219 |
{
|
| 220 |
"epoch": 2.4006668519033063,
|
| 221 |
-
"eval_loss": 0.
|
| 222 |
-
"eval_runtime":
|
| 223 |
-
"eval_samples_per_second":
|
| 224 |
-
"eval_steps_per_second": 6.
|
| 225 |
"step": 8640
|
| 226 |
},
|
| 227 |
{
|
| 228 |
"epoch": 2.5006946373992776,
|
| 229 |
-
"grad_norm": 0.
|
| 230 |
-
"learning_rate": 0.
|
| 231 |
-
"loss": 0.
|
| 232 |
"step": 9000
|
| 233 |
},
|
| 234 |
{
|
| 235 |
"epoch": 2.600722422895249,
|
| 236 |
-
"eval_loss": 0.
|
| 237 |
-
"eval_runtime": 4.
|
| 238 |
-
"eval_samples_per_second":
|
| 239 |
-
"eval_steps_per_second": 6.
|
| 240 |
"step": 9360
|
| 241 |
},
|
| 242 |
{
|
| 243 |
"epoch": 2.639622117254793,
|
| 244 |
-
"grad_norm":
|
| 245 |
-
"learning_rate": 0.
|
| 246 |
-
"loss": 0.
|
| 247 |
"step": 9500
|
| 248 |
},
|
| 249 |
{
|
| 250 |
"epoch": 2.7785495971103087,
|
| 251 |
-
"grad_norm": 0.
|
| 252 |
-
"learning_rate": 0.
|
| 253 |
-
"loss": 0.
|
| 254 |
"step": 10000
|
| 255 |
},
|
| 256 |
{
|
| 257 |
"epoch": 2.800777993887191,
|
| 258 |
-
"eval_loss": 0.
|
| 259 |
-
"eval_runtime": 4.
|
| 260 |
-
"eval_samples_per_second":
|
| 261 |
-
"eval_steps_per_second": 6.
|
| 262 |
"step": 10080
|
| 263 |
},
|
| 264 |
{
|
| 265 |
"epoch": 2.917477076965824,
|
| 266 |
-
"grad_norm":
|
| 267 |
-
"learning_rate": 0.
|
| 268 |
-
"loss": 0.
|
| 269 |
"step": 10500
|
| 270 |
},
|
| 271 |
{
|
| 272 |
"epoch": 3.000833564879133,
|
| 273 |
-
"eval_loss": 0.
|
| 274 |
-
"eval_runtime":
|
| 275 |
-
"eval_samples_per_second":
|
| 276 |
-
"eval_steps_per_second":
|
| 277 |
"step": 10800
|
| 278 |
},
|
| 279 |
{
|
| 280 |
"epoch": 3.0564045568213394,
|
| 281 |
-
"grad_norm": 0.
|
| 282 |
-
"learning_rate": 0.
|
| 283 |
-
"loss": 0.
|
| 284 |
"step": 11000
|
| 285 |
},
|
| 286 |
{
|
| 287 |
"epoch": 3.1953320366768545,
|
| 288 |
-
"grad_norm": 0.
|
| 289 |
-
"learning_rate": 0.
|
| 290 |
-
"loss": 0.
|
| 291 |
"step": 11500
|
| 292 |
},
|
| 293 |
{
|
| 294 |
"epoch": 3.2008891358710754,
|
| 295 |
-
"eval_loss": 0.
|
| 296 |
-
"eval_runtime":
|
| 297 |
-
"eval_samples_per_second":
|
| 298 |
-
"eval_steps_per_second":
|
| 299 |
"step": 11520
|
| 300 |
},
|
| 301 |
{
|
| 302 |
"epoch": 3.33425951653237,
|
| 303 |
-
"grad_norm": 0.
|
| 304 |
-
"learning_rate": 0.
|
| 305 |
-
"loss": 0.
|
| 306 |
"step": 12000
|
| 307 |
},
|
| 308 |
{
|
| 309 |
"epoch": 3.4009447068630174,
|
| 310 |
-
"eval_loss": 0.
|
| 311 |
-
"eval_runtime":
|
| 312 |
-
"eval_samples_per_second":
|
| 313 |
-
"eval_steps_per_second":
|
| 314 |
"step": 12240
|
| 315 |
},
|
| 316 |
{
|
| 317 |
"epoch": 3.4731869963878856,
|
| 318 |
-
"grad_norm":
|
| 319 |
-
"learning_rate": 0.
|
| 320 |
-
"loss": 0.
|
| 321 |
"step": 12500
|
| 322 |
},
|
| 323 |
{
|
| 324 |
"epoch": 3.6010002778549595,
|
| 325 |
-
"eval_loss": 0.
|
| 326 |
-
"eval_runtime":
|
| 327 |
-
"eval_samples_per_second":
|
| 328 |
-
"eval_steps_per_second":
|
| 329 |
"step": 12960
|
| 330 |
},
|
| 331 |
{
|
| 332 |
"epoch": 3.612114476243401,
|
| 333 |
-
"grad_norm":
|
| 334 |
-
"learning_rate": 0.
|
| 335 |
-
"loss": 0.
|
| 336 |
"step": 13000
|
| 337 |
},
|
| 338 |
{
|
| 339 |
"epoch": 3.7510419560989163,
|
| 340 |
-
"grad_norm": 0.
|
| 341 |
-
"learning_rate": 0.
|
| 342 |
-
"loss": 0.
|
| 343 |
"step": 13500
|
| 344 |
},
|
| 345 |
{
|
| 346 |
"epoch": 3.801055848846902,
|
| 347 |
-
"eval_loss": 0.
|
| 348 |
-
"eval_runtime": 4.
|
| 349 |
-
"eval_samples_per_second":
|
| 350 |
-
"eval_steps_per_second": 6.
|
| 351 |
"step": 13680
|
| 352 |
},
|
| 353 |
{
|
| 354 |
"epoch": 3.889969435954432,
|
| 355 |
-
"grad_norm": 0.
|
| 356 |
-
"learning_rate": 0.
|
| 357 |
-
"loss": 0.
|
| 358 |
"step": 14000
|
| 359 |
},
|
| 360 |
{
|
| 361 |
"epoch": 4.001111419838844,
|
| 362 |
-
"eval_loss": 0.
|
| 363 |
-
"eval_runtime":
|
| 364 |
-
"eval_samples_per_second":
|
| 365 |
-
"eval_steps_per_second":
|
| 366 |
"step": 14400
|
| 367 |
},
|
| 368 |
{
|
| 369 |
"epoch": 4.0288969158099475,
|
| 370 |
-
"grad_norm": 0.
|
| 371 |
-
"learning_rate": 0.
|
| 372 |
-
"loss": 0.
|
| 373 |
"step": 14500
|
| 374 |
},
|
| 375 |
{
|
| 376 |
"epoch": 4.167824395665463,
|
| 377 |
-
"grad_norm": 0.
|
| 378 |
-
"learning_rate": 0.
|
| 379 |
-
"loss": 0.
|
| 380 |
"step": 15000
|
| 381 |
},
|
| 382 |
{
|
| 383 |
"epoch": 4.201166990830786,
|
| 384 |
-
"eval_loss": 0.
|
| 385 |
-
"eval_runtime":
|
| 386 |
-
"eval_samples_per_second":
|
| 387 |
-
"eval_steps_per_second":
|
| 388 |
"step": 15120
|
| 389 |
},
|
| 390 |
{
|
| 391 |
"epoch": 4.306751875520978,
|
| 392 |
-
"grad_norm": 0.
|
| 393 |
-
"learning_rate": 0.
|
| 394 |
-
"loss": 0.
|
| 395 |
"step": 15500
|
| 396 |
},
|
| 397 |
{
|
| 398 |
"epoch": 4.4012225618227285,
|
| 399 |
-
"eval_loss": 0.
|
| 400 |
-
"eval_runtime":
|
| 401 |
-
"eval_samples_per_second":
|
| 402 |
-
"eval_steps_per_second":
|
| 403 |
"step": 15840
|
| 404 |
},
|
| 405 |
{
|
| 406 |
"epoch": 4.445679355376494,
|
| 407 |
-
"grad_norm": 0.
|
| 408 |
-
"learning_rate": 0.
|
| 409 |
-
"loss": 0.
|
| 410 |
"step": 16000
|
| 411 |
},
|
| 412 |
{
|
| 413 |
"epoch": 4.584606835232009,
|
| 414 |
-
"grad_norm": 0.
|
| 415 |
-
"learning_rate": 0.
|
| 416 |
-
"loss": 0.
|
| 417 |
"step": 16500
|
| 418 |
},
|
| 419 |
{
|
| 420 |
"epoch": 4.601278132814671,
|
| 421 |
-
"eval_loss": 0.
|
| 422 |
-
"eval_runtime":
|
| 423 |
-
"eval_samples_per_second":
|
| 424 |
-
"eval_steps_per_second":
|
| 425 |
"step": 16560
|
| 426 |
},
|
| 427 |
{
|
| 428 |
"epoch": 4.723534315087524,
|
| 429 |
-
"grad_norm": 0.
|
| 430 |
-
"learning_rate": 0.
|
| 431 |
-
"loss": 0.
|
| 432 |
"step": 17000
|
| 433 |
},
|
| 434 |
{
|
| 435 |
"epoch": 4.801333703806613,
|
| 436 |
-
"eval_loss": 0.
|
| 437 |
-
"eval_runtime": 4.
|
| 438 |
-
"eval_samples_per_second":
|
| 439 |
-
"eval_steps_per_second": 6.
|
| 440 |
"step": 17280
|
| 441 |
},
|
| 442 |
{
|
| 443 |
"epoch": 4.86246179494304,
|
| 444 |
-
"grad_norm": 0.
|
| 445 |
-
"learning_rate": 0.
|
| 446 |
-
"loss": 0.
|
| 447 |
"step": 17500
|
| 448 |
},
|
| 449 |
{
|
| 450 |
"epoch": 5.001389274798555,
|
| 451 |
-
"grad_norm": 0.
|
| 452 |
-
"learning_rate": 0.
|
| 453 |
-
"loss": 0.
|
| 454 |
"step": 18000
|
| 455 |
},
|
| 456 |
{
|
| 457 |
"epoch": 5.001389274798555,
|
| 458 |
-
"eval_loss": 0.
|
| 459 |
-
"eval_runtime":
|
| 460 |
-
"eval_samples_per_second":
|
| 461 |
-
"eval_steps_per_second":
|
| 462 |
"step": 18000
|
| 463 |
},
|
| 464 |
{
|
| 465 |
"epoch": 5.14031675465407,
|
| 466 |
-
"grad_norm": 0.
|
| 467 |
-
"learning_rate": 0.
|
| 468 |
-
"loss": 0.
|
| 469 |
"step": 18500
|
| 470 |
},
|
| 471 |
{
|
| 472 |
"epoch": 5.201444845790498,
|
| 473 |
-
"eval_loss": 0.
|
| 474 |
-
"eval_runtime":
|
| 475 |
-
"eval_samples_per_second":
|
| 476 |
-
"eval_steps_per_second":
|
| 477 |
"step": 18720
|
| 478 |
},
|
| 479 |
{
|
| 480 |
"epoch": 5.279244234509586,
|
| 481 |
-
"grad_norm": 0.
|
| 482 |
-
"learning_rate": 0.
|
| 483 |
-
"loss": 0.
|
| 484 |
"step": 19000
|
| 485 |
},
|
| 486 |
{
|
| 487 |
"epoch": 5.401500416782439,
|
| 488 |
-
"eval_loss": 0.
|
| 489 |
-
"eval_runtime": 4.
|
| 490 |
-
"eval_samples_per_second":
|
| 491 |
-
"eval_steps_per_second": 6.
|
| 492 |
"step": 19440
|
| 493 |
},
|
| 494 |
{
|
| 495 |
"epoch": 5.418171714365101,
|
| 496 |
-
"grad_norm": 0.
|
| 497 |
-
"learning_rate": 0.
|
| 498 |
-
"loss": 0.
|
| 499 |
"step": 19500
|
| 500 |
},
|
| 501 |
{
|
| 502 |
"epoch": 5.5570991942206165,
|
| 503 |
-
"grad_norm": 0.
|
| 504 |
-
"learning_rate": 0.
|
| 505 |
-
"loss": 0.
|
| 506 |
"step": 20000
|
| 507 |
},
|
| 508 |
{
|
| 509 |
"epoch": 5.601555987774382,
|
| 510 |
-
"eval_loss": 0.
|
| 511 |
-
"eval_runtime":
|
| 512 |
-
"eval_samples_per_second":
|
| 513 |
-
"eval_steps_per_second":
|
| 514 |
"step": 20160
|
| 515 |
},
|
| 516 |
{
|
| 517 |
"epoch": 5.6960266740761325,
|
| 518 |
-
"grad_norm": 0.
|
| 519 |
-
"learning_rate": 0.
|
| 520 |
-
"loss": 0.
|
| 521 |
"step": 20500
|
| 522 |
},
|
| 523 |
{
|
| 524 |
"epoch": 5.801611558766324,
|
| 525 |
-
"eval_loss": 0.
|
| 526 |
-
"eval_runtime":
|
| 527 |
-
"eval_samples_per_second":
|
| 528 |
-
"eval_steps_per_second":
|
| 529 |
"step": 20880
|
| 530 |
},
|
| 531 |
{
|
| 532 |
"epoch": 5.834954153931648,
|
| 533 |
-
"grad_norm": 0.
|
| 534 |
-
"learning_rate": 0.
|
| 535 |
-
"loss": 0.
|
| 536 |
"step": 21000
|
| 537 |
},
|
| 538 |
{
|
| 539 |
"epoch": 5.973881633787163,
|
| 540 |
-
"grad_norm": 0.
|
| 541 |
-
"learning_rate": 0.
|
| 542 |
-
"loss": 0.
|
| 543 |
"step": 21500
|
| 544 |
},
|
| 545 |
{
|
| 546 |
"epoch": 6.001667129758266,
|
| 547 |
-
"eval_loss": 0.
|
| 548 |
-
"eval_runtime":
|
| 549 |
-
"eval_samples_per_second":
|
| 550 |
-
"eval_steps_per_second":
|
| 551 |
"step": 21600
|
| 552 |
},
|
| 553 |
{
|
| 554 |
"epoch": 6.112809113642679,
|
| 555 |
-
"grad_norm": 0.
|
| 556 |
-
"learning_rate": 0.
|
| 557 |
-
"loss": 0.
|
| 558 |
"step": 22000
|
| 559 |
},
|
| 560 |
{
|
| 561 |
"epoch": 6.201722700750208,
|
| 562 |
-
"eval_loss": 0.
|
| 563 |
-
"eval_runtime":
|
| 564 |
-
"eval_samples_per_second":
|
| 565 |
-
"eval_steps_per_second":
|
| 566 |
"step": 22320
|
| 567 |
},
|
| 568 |
{
|
| 569 |
"epoch": 6.251736593498194,
|
| 570 |
-
"grad_norm": 0.
|
| 571 |
-
"learning_rate": 0.
|
| 572 |
-
"loss": 0.
|
| 573 |
"step": 22500
|
| 574 |
},
|
| 575 |
{
|
| 576 |
"epoch": 6.390664073353709,
|
| 577 |
-
"grad_norm": 0.
|
| 578 |
-
"learning_rate": 0.
|
| 579 |
-
"loss": 0.
|
| 580 |
"step": 23000
|
| 581 |
},
|
| 582 |
{
|
| 583 |
"epoch": 6.401778271742151,
|
| 584 |
-
"eval_loss": 0.
|
| 585 |
-
"eval_runtime": 4.
|
| 586 |
-
"eval_samples_per_second":
|
| 587 |
-
"eval_steps_per_second": 6.
|
| 588 |
"step": 23040
|
| 589 |
},
|
| 590 |
{
|
| 591 |
"epoch": 6.529591553209225,
|
| 592 |
-
"grad_norm": 0.
|
| 593 |
-
"learning_rate": 0.
|
| 594 |
-
"loss": 0.
|
| 595 |
"step": 23500
|
| 596 |
},
|
| 597 |
{
|
| 598 |
"epoch": 6.601833842734093,
|
| 599 |
-
"eval_loss": 0.
|
| 600 |
-
"eval_runtime":
|
| 601 |
-
"eval_samples_per_second":
|
| 602 |
-
"eval_steps_per_second":
|
| 603 |
"step": 23760
|
| 604 |
},
|
| 605 |
{
|
| 606 |
"epoch": 6.66851903306474,
|
| 607 |
-
"grad_norm": 0.
|
| 608 |
-
"learning_rate": 0.
|
| 609 |
-
"loss": 0.
|
| 610 |
"step": 24000
|
| 611 |
},
|
| 612 |
{
|
| 613 |
"epoch": 6.801889413726035,
|
| 614 |
-
"eval_loss": 0.
|
| 615 |
-
"eval_runtime":
|
| 616 |
-
"eval_samples_per_second":
|
| 617 |
-
"eval_steps_per_second":
|
| 618 |
"step": 24480
|
| 619 |
},
|
| 620 |
{
|
| 621 |
"epoch": 6.807446512920255,
|
| 622 |
-
"grad_norm": 0.
|
| 623 |
-
"learning_rate": 0.
|
| 624 |
-
"loss": 0.
|
| 625 |
"step": 24500
|
| 626 |
},
|
| 627 |
{
|
| 628 |
"epoch": 6.946373992775771,
|
| 629 |
-
"grad_norm": 0.
|
| 630 |
-
"learning_rate": 0.
|
| 631 |
-
"loss": 0.
|
| 632 |
"step": 25000
|
| 633 |
},
|
| 634 |
{
|
| 635 |
"epoch": 7.001944984717977,
|
| 636 |
-
"eval_loss": 0.
|
| 637 |
-
"eval_runtime":
|
| 638 |
-
"eval_samples_per_second":
|
| 639 |
-
"eval_steps_per_second":
|
| 640 |
"step": 25200
|
| 641 |
},
|
| 642 |
{
|
| 643 |
"epoch": 7.085301472631286,
|
| 644 |
-
"grad_norm": 0.
|
| 645 |
-
"learning_rate": 0.
|
| 646 |
-
"loss": 0.
|
| 647 |
"step": 25500
|
| 648 |
},
|
| 649 |
{
|
| 650 |
"epoch": 7.20200055570992,
|
| 651 |
-
"eval_loss": 0.
|
| 652 |
-
"eval_runtime":
|
| 653 |
-
"eval_samples_per_second":
|
| 654 |
-
"eval_steps_per_second":
|
| 655 |
"step": 25920
|
| 656 |
},
|
| 657 |
{
|
| 658 |
"epoch": 7.2242289524868015,
|
| 659 |
-
"grad_norm": 0.
|
| 660 |
-
"learning_rate": 0.
|
| 661 |
-
"loss": 0.
|
| 662 |
"step": 26000
|
| 663 |
},
|
| 664 |
{
|
| 665 |
"epoch": 7.3631564323423175,
|
| 666 |
-
"grad_norm":
|
| 667 |
-
"learning_rate": 0.
|
| 668 |
-
"loss": 0.
|
| 669 |
"step": 26500
|
| 670 |
},
|
| 671 |
{
|
| 672 |
"epoch": 7.402056126701861,
|
| 673 |
-
"eval_loss": 0.
|
| 674 |
-
"eval_runtime":
|
| 675 |
-
"eval_samples_per_second":
|
| 676 |
-
"eval_steps_per_second":
|
| 677 |
"step": 26640
|
| 678 |
},
|
| 679 |
{
|
| 680 |
"epoch": 7.502083912197833,
|
| 681 |
-
"grad_norm": 0.
|
| 682 |
-
"learning_rate": 0.
|
| 683 |
-
"loss": 0.
|
| 684 |
"step": 27000
|
| 685 |
},
|
| 686 |
{
|
| 687 |
"epoch": 7.602111697693804,
|
| 688 |
-
"eval_loss": 0.
|
| 689 |
-
"eval_runtime": 4.
|
| 690 |
-
"eval_samples_per_second":
|
| 691 |
-
"eval_steps_per_second": 6.
|
| 692 |
"step": 27360
|
| 693 |
},
|
| 694 |
{
|
| 695 |
"epoch": 7.641011392053348,
|
| 696 |
-
"grad_norm": 0.
|
| 697 |
-
"learning_rate": 0.
|
| 698 |
-
"loss": 0.
|
| 699 |
"step": 27500
|
| 700 |
},
|
| 701 |
{
|
| 702 |
"epoch": 7.779938871908864,
|
| 703 |
-
"grad_norm": 0.
|
| 704 |
-
"learning_rate": 0.
|
| 705 |
-
"loss": 0.
|
| 706 |
"step": 28000
|
| 707 |
},
|
| 708 |
{
|
| 709 |
"epoch": 7.802167268685746,
|
| 710 |
-
"eval_loss": 0.
|
| 711 |
-
"eval_runtime":
|
| 712 |
-
"eval_samples_per_second":
|
| 713 |
-
"eval_steps_per_second":
|
| 714 |
"step": 28080
|
| 715 |
},
|
| 716 |
{
|
| 717 |
"epoch": 7.918866351764379,
|
| 718 |
-
"grad_norm": 0.
|
| 719 |
-
"learning_rate": 0.
|
| 720 |
-
"loss": 0.
|
| 721 |
"step": 28500
|
| 722 |
},
|
| 723 |
{
|
| 724 |
"epoch": 8.002222839677689,
|
| 725 |
-
"eval_loss": 0.
|
| 726 |
-
"eval_runtime":
|
| 727 |
-
"eval_samples_per_second":
|
| 728 |
-
"eval_steps_per_second":
|
| 729 |
"step": 28800
|
| 730 |
},
|
| 731 |
{
|
| 732 |
"epoch": 8.057793831619895,
|
| 733 |
-
"grad_norm": 0.
|
| 734 |
-
"learning_rate": 0.
|
| 735 |
-
"loss": 0.
|
| 736 |
"step": 29000
|
| 737 |
},
|
| 738 |
{
|
| 739 |
"epoch": 8.19672131147541,
|
| 740 |
-
"grad_norm": 0.
|
| 741 |
-
"learning_rate": 0.
|
| 742 |
-
"loss": 0.
|
| 743 |
"step": 29500
|
| 744 |
},
|
| 745 |
{
|
| 746 |
"epoch": 8.20227841066963,
|
| 747 |
-
"eval_loss": 0.
|
| 748 |
-
"eval_runtime":
|
| 749 |
-
"eval_samples_per_second":
|
| 750 |
-
"eval_steps_per_second":
|
| 751 |
"step": 29520
|
| 752 |
},
|
| 753 |
{
|
| 754 |
"epoch": 8.335648791330925,
|
| 755 |
-
"grad_norm": 0.
|
| 756 |
-
"learning_rate": 0.
|
| 757 |
-
"loss": 0.
|
| 758 |
"step": 30000
|
| 759 |
},
|
| 760 |
{
|
| 761 |
"epoch": 8.402333981661572,
|
| 762 |
-
"eval_loss": 0.
|
| 763 |
-
"eval_runtime":
|
| 764 |
-
"eval_samples_per_second":
|
| 765 |
-
"eval_steps_per_second":
|
| 766 |
"step": 30240
|
| 767 |
},
|
| 768 |
{
|
| 769 |
"epoch": 8.474576271186441,
|
| 770 |
-
"grad_norm": 0.
|
| 771 |
-
"learning_rate": 0.
|
| 772 |
-
"loss": 0.
|
| 773 |
"step": 30500
|
| 774 |
},
|
| 775 |
{
|
| 776 |
"epoch": 8.602389552653515,
|
| 777 |
-
"eval_loss": 0.
|
| 778 |
-
"eval_runtime":
|
| 779 |
-
"eval_samples_per_second":
|
| 780 |
-
"eval_steps_per_second":
|
| 781 |
"step": 30960
|
| 782 |
},
|
| 783 |
{
|
| 784 |
"epoch": 8.613503751041955,
|
| 785 |
-
"grad_norm": 0.
|
| 786 |
-
"learning_rate": 0.
|
| 787 |
-
"loss": 0.
|
| 788 |
"step": 31000
|
| 789 |
},
|
| 790 |
{
|
| 791 |
"epoch": 8.752431230897471,
|
| 792 |
-
"grad_norm": 0.
|
| 793 |
-
"learning_rate": 0.
|
| 794 |
-
"loss": 0.
|
| 795 |
"step": 31500
|
| 796 |
},
|
| 797 |
{
|
| 798 |
"epoch": 8.802445123645457,
|
| 799 |
-
"eval_loss": 0.
|
| 800 |
-
"eval_runtime":
|
| 801 |
-
"eval_samples_per_second":
|
| 802 |
-
"eval_steps_per_second":
|
| 803 |
"step": 31680
|
| 804 |
},
|
| 805 |
{
|
| 806 |
"epoch": 8.891358710752987,
|
| 807 |
-
"grad_norm": 0.
|
| 808 |
-
"learning_rate": 0.
|
| 809 |
-
"loss": 0.
|
| 810 |
"step": 32000
|
| 811 |
}
|
| 812 |
],
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
"epoch": 9.0,
|
|
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.13892747985551543,
|
| 13 |
+
"grad_norm": 0.9573676586151123,
|
| 14 |
+
"learning_rate": 0.0007907566916736131,
|
| 15 |
+
"loss": 0.377,
|
| 16 |
"step": 500
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.2000555709919422,
|
| 20 |
+
"eval_loss": 0.28939542174339294,
|
| 21 |
+
"eval_runtime": 4.6518,
|
| 22 |
+
"eval_samples_per_second": 107.484,
|
| 23 |
+
"eval_steps_per_second": 6.879,
|
| 24 |
"step": 720
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.27785495971103086,
|
| 28 |
+
"grad_norm": 0.5571001768112183,
|
| 29 |
+
"learning_rate": 0.0007815133833472261,
|
| 30 |
+
"loss": 0.2824,
|
| 31 |
"step": 1000
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 0.4001111419838844,
|
| 35 |
+
"eval_loss": 0.2604603171348572,
|
| 36 |
+
"eval_runtime": 4.3083,
|
| 37 |
+
"eval_samples_per_second": 116.054,
|
| 38 |
+
"eval_steps_per_second": 7.427,
|
| 39 |
"step": 1440
|
| 40 |
},
|
| 41 |
{
|
| 42 |
"epoch": 0.41678243956654626,
|
| 43 |
+
"grad_norm": 0.6729081273078918,
|
| 44 |
+
"learning_rate": 0.0007722515513568584,
|
| 45 |
+
"loss": 0.2627,
|
| 46 |
"step": 1500
|
| 47 |
},
|
| 48 |
{
|
| 49 |
"epoch": 0.5557099194220617,
|
| 50 |
+
"grad_norm": 0.5200651288032532,
|
| 51 |
+
"learning_rate": 0.0007629897193664907,
|
| 52 |
+
"loss": 0.2488,
|
| 53 |
"step": 2000
|
| 54 |
},
|
| 55 |
{
|
| 56 |
"epoch": 0.6001667129758266,
|
| 57 |
+
"eval_loss": 0.24864767491817474,
|
| 58 |
+
"eval_runtime": 3.8713,
|
| 59 |
+
"eval_samples_per_second": 129.157,
|
| 60 |
+
"eval_steps_per_second": 8.266,
|
| 61 |
"step": 2160
|
| 62 |
},
|
| 63 |
{
|
| 64 |
"epoch": 0.6946373992775771,
|
| 65 |
+
"grad_norm": 0.6645380258560181,
|
| 66 |
+
"learning_rate": 0.0007537464110401038,
|
| 67 |
+
"loss": 0.2424,
|
| 68 |
"step": 2500
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 0.8002222839677688,
|
| 72 |
+
"eval_loss": 0.2434273064136505,
|
| 73 |
+
"eval_runtime": 4.2012,
|
| 74 |
+
"eval_samples_per_second": 119.013,
|
| 75 |
+
"eval_steps_per_second": 7.617,
|
| 76 |
"step": 2880
|
| 77 |
},
|
| 78 |
{
|
| 79 |
"epoch": 0.8335648791330925,
|
| 80 |
+
"grad_norm": 0.8886778354644775,
|
| 81 |
+
"learning_rate": 0.000744484579049736,
|
| 82 |
+
"loss": 0.2332,
|
| 83 |
"step": 3000
|
| 84 |
},
|
| 85 |
{
|
| 86 |
"epoch": 0.972492358988608,
|
| 87 |
+
"grad_norm": 0.5990277528762817,
|
| 88 |
+
"learning_rate": 0.0007352227470593684,
|
| 89 |
+
"loss": 0.2307,
|
| 90 |
"step": 3500
|
| 91 |
},
|
| 92 |
{
|
| 93 |
"epoch": 1.000277854959711,
|
| 94 |
+
"eval_loss": 0.23320984840393066,
|
| 95 |
+
"eval_runtime": 4.3777,
|
| 96 |
+
"eval_samples_per_second": 114.216,
|
| 97 |
+
"eval_steps_per_second": 7.31,
|
| 98 |
"step": 3600
|
| 99 |
},
|
| 100 |
{
|
| 101 |
"epoch": 1.1114198388441234,
|
| 102 |
+
"grad_norm": 0.9014330506324768,
|
| 103 |
+
"learning_rate": 0.0007259609150690007,
|
| 104 |
+
"loss": 0.2171,
|
| 105 |
"step": 4000
|
| 106 |
},
|
| 107 |
{
|
| 108 |
"epoch": 1.2003334259516532,
|
| 109 |
+
"eval_loss": 0.23165521025657654,
|
| 110 |
+
"eval_runtime": 4.5533,
|
| 111 |
+
"eval_samples_per_second": 109.81,
|
| 112 |
+
"eval_steps_per_second": 7.028,
|
| 113 |
"step": 4320
|
| 114 |
},
|
| 115 |
{
|
| 116 |
"epoch": 1.2503473186996388,
|
| 117 |
+
"grad_norm": 0.9070354104042053,
|
| 118 |
+
"learning_rate": 0.000716699083078633,
|
| 119 |
+
"loss": 0.2174,
|
| 120 |
"step": 4500
|
| 121 |
},
|
| 122 |
{
|
| 123 |
"epoch": 1.3892747985551543,
|
| 124 |
+
"grad_norm": 0.9023842215538025,
|
| 125 |
+
"learning_rate": 0.000707455774752246,
|
| 126 |
+
"loss": 0.215,
|
| 127 |
"step": 5000
|
| 128 |
},
|
| 129 |
{
|
| 130 |
"epoch": 1.4003889969435954,
|
| 131 |
+
"eval_loss": 0.21996016800403595,
|
| 132 |
+
"eval_runtime": 4.2649,
|
| 133 |
+
"eval_samples_per_second": 117.235,
|
| 134 |
+
"eval_steps_per_second": 7.503,
|
| 135 |
"step": 5040
|
| 136 |
},
|
| 137 |
{
|
| 138 |
"epoch": 1.5282022784106695,
|
| 139 |
+
"grad_norm": 0.8724926710128784,
|
| 140 |
+
"learning_rate": 0.0006981939427618783,
|
| 141 |
+
"loss": 0.2101,
|
| 142 |
"step": 5500
|
| 143 |
},
|
| 144 |
{
|
| 145 |
"epoch": 1.6004445679355377,
|
| 146 |
+
"eval_loss": 0.21771642565727234,
|
| 147 |
+
"eval_runtime": 4.6518,
|
| 148 |
+
"eval_samples_per_second": 107.486,
|
| 149 |
+
"eval_steps_per_second": 6.879,
|
| 150 |
"step": 5760
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 1.667129758266185,
|
| 154 |
+
"grad_norm": 1.1229606866836548,
|
| 155 |
+
"learning_rate": 0.0006889321107715106,
|
| 156 |
+
"loss": 0.209,
|
| 157 |
"step": 6000
|
| 158 |
},
|
| 159 |
{
|
| 160 |
"epoch": 1.8005001389274797,
|
| 161 |
+
"eval_loss": 0.2162657231092453,
|
| 162 |
+
"eval_runtime": 3.9728,
|
| 163 |
+
"eval_samples_per_second": 125.857,
|
| 164 |
+
"eval_steps_per_second": 8.055,
|
| 165 |
"step": 6480
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 1.8060572381217006,
|
| 169 |
+
"grad_norm": 0.562541127204895,
|
| 170 |
+
"learning_rate": 0.000679670278781143,
|
| 171 |
+
"loss": 0.2053,
|
| 172 |
"step": 6500
|
| 173 |
},
|
| 174 |
{
|
| 175 |
"epoch": 1.9449847179772157,
|
| 176 |
+
"grad_norm": 0.9058884382247925,
|
| 177 |
+
"learning_rate": 0.0006704084467907753,
|
| 178 |
+
"loss": 0.2047,
|
| 179 |
"step": 7000
|
| 180 |
},
|
| 181 |
{
|
| 182 |
"epoch": 2.000555709919422,
|
| 183 |
+
"eval_loss": 0.21751119196414948,
|
| 184 |
+
"eval_runtime": 3.8866,
|
| 185 |
+
"eval_samples_per_second": 128.646,
|
| 186 |
+
"eval_steps_per_second": 8.233,
|
| 187 |
"step": 7200
|
| 188 |
},
|
| 189 |
{
|
| 190 |
"epoch": 2.0839121978327313,
|
| 191 |
+
"grad_norm": 0.5113864541053772,
|
| 192 |
+
"learning_rate": 0.0006611466148004076,
|
| 193 |
+
"loss": 0.1972,
|
| 194 |
"step": 7500
|
| 195 |
},
|
| 196 |
{
|
| 197 |
"epoch": 2.2006112809113643,
|
| 198 |
+
"eval_loss": 0.21081140637397766,
|
| 199 |
+
"eval_runtime": 3.9021,
|
| 200 |
+
"eval_samples_per_second": 128.136,
|
| 201 |
+
"eval_steps_per_second": 8.201,
|
| 202 |
"step": 7920
|
| 203 |
},
|
| 204 |
{
|
| 205 |
"epoch": 2.222839677688247,
|
| 206 |
+
"grad_norm": 0.6523454785346985,
|
| 207 |
+
"learning_rate": 0.0006518847828100398,
|
| 208 |
+
"loss": 0.1968,
|
| 209 |
"step": 8000
|
| 210 |
},
|
| 211 |
{
|
| 212 |
"epoch": 2.361767157543762,
|
| 213 |
+
"grad_norm": 0.48720309138298035,
|
| 214 |
+
"learning_rate": 0.0006426414744836529,
|
| 215 |
+
"loss": 0.1934,
|
| 216 |
"step": 8500
|
| 217 |
},
|
| 218 |
{
|
| 219 |
"epoch": 2.4006668519033063,
|
| 220 |
+
"eval_loss": 0.20452378690242767,
|
| 221 |
+
"eval_runtime": 4.661,
|
| 222 |
+
"eval_samples_per_second": 107.272,
|
| 223 |
+
"eval_steps_per_second": 6.865,
|
| 224 |
"step": 8640
|
| 225 |
},
|
| 226 |
{
|
| 227 |
"epoch": 2.5006946373992776,
|
| 228 |
+
"grad_norm": 0.6927788257598877,
|
| 229 |
+
"learning_rate": 0.0006333796424932852,
|
| 230 |
+
"loss": 0.1906,
|
| 231 |
"step": 9000
|
| 232 |
},
|
| 233 |
{
|
| 234 |
"epoch": 2.600722422895249,
|
| 235 |
+
"eval_loss": 0.1991214007139206,
|
| 236 |
+
"eval_runtime": 4.7026,
|
| 237 |
+
"eval_samples_per_second": 106.324,
|
| 238 |
+
"eval_steps_per_second": 6.805,
|
| 239 |
"step": 9360
|
| 240 |
},
|
| 241 |
{
|
| 242 |
"epoch": 2.639622117254793,
|
| 243 |
+
"grad_norm": 0.6956183910369873,
|
| 244 |
+
"learning_rate": 0.0006241178105029175,
|
| 245 |
+
"loss": 0.1893,
|
| 246 |
"step": 9500
|
| 247 |
},
|
| 248 |
{
|
| 249 |
"epoch": 2.7785495971103087,
|
| 250 |
+
"grad_norm": 0.40230458974838257,
|
| 251 |
+
"learning_rate": 0.0006148559785125498,
|
| 252 |
+
"loss": 0.1889,
|
| 253 |
"step": 10000
|
| 254 |
},
|
| 255 |
{
|
| 256 |
"epoch": 2.800777993887191,
|
| 257 |
+
"eval_loss": 0.20080548524856567,
|
| 258 |
+
"eval_runtime": 4.5769,
|
| 259 |
+
"eval_samples_per_second": 109.245,
|
| 260 |
+
"eval_steps_per_second": 6.992,
|
| 261 |
"step": 10080
|
| 262 |
},
|
| 263 |
{
|
| 264 |
"epoch": 2.917477076965824,
|
| 265 |
+
"grad_norm": 1.1422420740127563,
|
| 266 |
+
"learning_rate": 0.0006055941465221821,
|
| 267 |
+
"loss": 0.1911,
|
| 268 |
"step": 10500
|
| 269 |
},
|
| 270 |
{
|
| 271 |
"epoch": 3.000833564879133,
|
| 272 |
+
"eval_loss": 0.2006545066833496,
|
| 273 |
+
"eval_runtime": 4.7461,
|
| 274 |
+
"eval_samples_per_second": 105.351,
|
| 275 |
+
"eval_steps_per_second": 6.742,
|
| 276 |
"step": 10800
|
| 277 |
},
|
| 278 |
{
|
| 279 |
"epoch": 3.0564045568213394,
|
| 280 |
+
"grad_norm": 0.8359866142272949,
|
| 281 |
+
"learning_rate": 0.0005963323145318144,
|
| 282 |
+
"loss": 0.1858,
|
| 283 |
"step": 11000
|
| 284 |
},
|
| 285 |
{
|
| 286 |
"epoch": 3.1953320366768545,
|
| 287 |
+
"grad_norm": 0.5189564824104309,
|
| 288 |
+
"learning_rate": 0.0005870704825414468,
|
| 289 |
+
"loss": 0.1789,
|
| 290 |
"step": 11500
|
| 291 |
},
|
| 292 |
{
|
| 293 |
"epoch": 3.2008891358710754,
|
| 294 |
+
"eval_loss": 0.19731611013412476,
|
| 295 |
+
"eval_runtime": 4.0407,
|
| 296 |
+
"eval_samples_per_second": 123.742,
|
| 297 |
+
"eval_steps_per_second": 7.919,
|
| 298 |
"step": 11520
|
| 299 |
},
|
| 300 |
{
|
| 301 |
"epoch": 3.33425951653237,
|
| 302 |
+
"grad_norm": 0.578628659248352,
|
| 303 |
+
"learning_rate": 0.0005778271742150597,
|
| 304 |
+
"loss": 0.1799,
|
| 305 |
"step": 12000
|
| 306 |
},
|
| 307 |
{
|
| 308 |
"epoch": 3.4009447068630174,
|
| 309 |
+
"eval_loss": 0.19467230141162872,
|
| 310 |
+
"eval_runtime": 4.0481,
|
| 311 |
+
"eval_samples_per_second": 123.514,
|
| 312 |
+
"eval_steps_per_second": 7.905,
|
| 313 |
"step": 12240
|
| 314 |
},
|
| 315 |
{
|
| 316 |
"epoch": 3.4731869963878856,
|
| 317 |
+
"grad_norm": 0.8292349576950073,
|
| 318 |
+
"learning_rate": 0.0005685653422246921,
|
| 319 |
+
"loss": 0.1769,
|
| 320 |
"step": 12500
|
| 321 |
},
|
| 322 |
{
|
| 323 |
"epoch": 3.6010002778549595,
|
| 324 |
+
"eval_loss": 0.19331130385398865,
|
| 325 |
+
"eval_runtime": 4.0814,
|
| 326 |
+
"eval_samples_per_second": 122.508,
|
| 327 |
+
"eval_steps_per_second": 7.841,
|
| 328 |
"step": 12960
|
| 329 |
},
|
| 330 |
{
|
| 331 |
"epoch": 3.612114476243401,
|
| 332 |
+
"grad_norm": 0.6857467293739319,
|
| 333 |
+
"learning_rate": 0.0005593035102343244,
|
| 334 |
+
"loss": 0.1796,
|
| 335 |
"step": 13000
|
| 336 |
},
|
| 337 |
{
|
| 338 |
"epoch": 3.7510419560989163,
|
| 339 |
+
"grad_norm": 0.5829126238822937,
|
| 340 |
+
"learning_rate": 0.0005500416782439567,
|
| 341 |
+
"loss": 0.176,
|
| 342 |
"step": 13500
|
| 343 |
},
|
| 344 |
{
|
| 345 |
"epoch": 3.801055848846902,
|
| 346 |
+
"eval_loss": 0.18971021473407745,
|
| 347 |
+
"eval_runtime": 4.5985,
|
| 348 |
+
"eval_samples_per_second": 108.73,
|
| 349 |
+
"eval_steps_per_second": 6.959,
|
| 350 |
"step": 13680
|
| 351 |
},
|
| 352 |
{
|
| 353 |
"epoch": 3.889969435954432,
|
| 354 |
+
"grad_norm": 0.7102944254875183,
|
| 355 |
+
"learning_rate": 0.0005407798462535889,
|
| 356 |
+
"loss": 0.1753,
|
| 357 |
"step": 14000
|
| 358 |
},
|
| 359 |
{
|
| 360 |
"epoch": 4.001111419838844,
|
| 361 |
+
"eval_loss": 0.18332147598266602,
|
| 362 |
+
"eval_runtime": 4.569,
|
| 363 |
+
"eval_samples_per_second": 109.434,
|
| 364 |
+
"eval_steps_per_second": 7.004,
|
| 365 |
"step": 14400
|
| 366 |
},
|
| 367 |
{
|
| 368 |
"epoch": 4.0288969158099475,
|
| 369 |
+
"grad_norm": 0.5539807081222534,
|
| 370 |
+
"learning_rate": 0.000531536537927202,
|
| 371 |
+
"loss": 0.17,
|
| 372 |
"step": 14500
|
| 373 |
},
|
| 374 |
{
|
| 375 |
"epoch": 4.167824395665463,
|
| 376 |
+
"grad_norm": 0.6355165243148804,
|
| 377 |
+
"learning_rate": 0.0005222747059368344,
|
| 378 |
+
"loss": 0.1645,
|
| 379 |
"step": 15000
|
| 380 |
},
|
| 381 |
{
|
| 382 |
"epoch": 4.201166990830786,
|
| 383 |
+
"eval_loss": 0.18329477310180664,
|
| 384 |
+
"eval_runtime": 4.6958,
|
| 385 |
+
"eval_samples_per_second": 106.477,
|
| 386 |
+
"eval_steps_per_second": 6.815,
|
| 387 |
"step": 15120
|
| 388 |
},
|
| 389 |
{
|
| 390 |
"epoch": 4.306751875520978,
|
| 391 |
+
"grad_norm": 0.5928105115890503,
|
| 392 |
+
"learning_rate": 0.0005130128739464667,
|
| 393 |
+
"loss": 0.1684,
|
| 394 |
"step": 15500
|
| 395 |
},
|
| 396 |
{
|
| 397 |
"epoch": 4.4012225618227285,
|
| 398 |
+
"eval_loss": 0.1863529086112976,
|
| 399 |
+
"eval_runtime": 3.9814,
|
| 400 |
+
"eval_samples_per_second": 125.585,
|
| 401 |
+
"eval_steps_per_second": 8.037,
|
| 402 |
"step": 15840
|
| 403 |
},
|
| 404 |
{
|
| 405 |
"epoch": 4.445679355376494,
|
| 406 |
+
"grad_norm": 0.5573757886886597,
|
| 407 |
+
"learning_rate": 0.000503751041956099,
|
| 408 |
+
"loss": 0.1671,
|
| 409 |
"step": 16000
|
| 410 |
},
|
| 411 |
{
|
| 412 |
"epoch": 4.584606835232009,
|
| 413 |
+
"grad_norm": 0.5758992433547974,
|
| 414 |
+
"learning_rate": 0.0004944892099657312,
|
| 415 |
+
"loss": 0.1626,
|
| 416 |
"step": 16500
|
| 417 |
},
|
| 418 |
{
|
| 419 |
"epoch": 4.601278132814671,
|
| 420 |
+
"eval_loss": 0.18393146991729736,
|
| 421 |
+
"eval_runtime": 3.9565,
|
| 422 |
+
"eval_samples_per_second": 126.373,
|
| 423 |
+
"eval_steps_per_second": 8.088,
|
| 424 |
"step": 16560
|
| 425 |
},
|
| 426 |
{
|
| 427 |
"epoch": 4.723534315087524,
|
| 428 |
+
"grad_norm": 0.65135258436203,
|
| 429 |
+
"learning_rate": 0.0004852459016393443,
|
| 430 |
+
"loss": 0.1649,
|
| 431 |
"step": 17000
|
| 432 |
},
|
| 433 |
{
|
| 434 |
"epoch": 4.801333703806613,
|
| 435 |
+
"eval_loss": 0.176134392619133,
|
| 436 |
+
"eval_runtime": 4.7856,
|
| 437 |
+
"eval_samples_per_second": 104.479,
|
| 438 |
+
"eval_steps_per_second": 6.687,
|
| 439 |
"step": 17280
|
| 440 |
},
|
| 441 |
{
|
| 442 |
"epoch": 4.86246179494304,
|
| 443 |
+
"grad_norm": 0.4339986741542816,
|
| 444 |
+
"learning_rate": 0.0004759840696489766,
|
| 445 |
+
"loss": 0.1643,
|
| 446 |
"step": 17500
|
| 447 |
},
|
| 448 |
{
|
| 449 |
"epoch": 5.001389274798555,
|
| 450 |
+
"grad_norm": 0.6604339480400085,
|
| 451 |
+
"learning_rate": 0.00046672223765860887,
|
| 452 |
+
"loss": 0.1613,
|
| 453 |
"step": 18000
|
| 454 |
},
|
| 455 |
{
|
| 456 |
"epoch": 5.001389274798555,
|
| 457 |
+
"eval_loss": 0.18032513558864594,
|
| 458 |
+
"eval_runtime": 4.4011,
|
| 459 |
+
"eval_samples_per_second": 113.608,
|
| 460 |
+
"eval_steps_per_second": 7.271,
|
| 461 |
"step": 18000
|
| 462 |
},
|
| 463 |
{
|
| 464 |
"epoch": 5.14031675465407,
|
| 465 |
+
"grad_norm": 0.5034669637680054,
|
| 466 |
+
"learning_rate": 0.00045746040566824116,
|
| 467 |
+
"loss": 0.1523,
|
| 468 |
"step": 18500
|
| 469 |
},
|
| 470 |
{
|
| 471 |
"epoch": 5.201444845790498,
|
| 472 |
+
"eval_loss": 0.17549069225788116,
|
| 473 |
+
"eval_runtime": 4.1969,
|
| 474 |
+
"eval_samples_per_second": 119.137,
|
| 475 |
+
"eval_steps_per_second": 7.625,
|
| 476 |
"step": 18720
|
| 477 |
},
|
| 478 |
{
|
| 479 |
"epoch": 5.279244234509586,
|
| 480 |
+
"grad_norm": 0.6701804995536804,
|
| 481 |
+
"learning_rate": 0.00044821709734185424,
|
| 482 |
+
"loss": 0.1531,
|
| 483 |
"step": 19000
|
| 484 |
},
|
| 485 |
{
|
| 486 |
"epoch": 5.401500416782439,
|
| 487 |
+
"eval_loss": 0.1766393482685089,
|
| 488 |
+
"eval_runtime": 4.6747,
|
| 489 |
+
"eval_samples_per_second": 106.959,
|
| 490 |
+
"eval_steps_per_second": 6.845,
|
| 491 |
"step": 19440
|
| 492 |
},
|
| 493 |
{
|
| 494 |
"epoch": 5.418171714365101,
|
| 495 |
+
"grad_norm": 0.8808122277259827,
|
| 496 |
+
"learning_rate": 0.0004389552653514866,
|
| 497 |
+
"loss": 0.1538,
|
| 498 |
"step": 19500
|
| 499 |
},
|
| 500 |
{
|
| 501 |
"epoch": 5.5570991942206165,
|
| 502 |
+
"grad_norm": 0.7931129336357117,
|
| 503 |
+
"learning_rate": 0.0004296934333611189,
|
| 504 |
+
"loss": 0.1539,
|
| 505 |
"step": 20000
|
| 506 |
},
|
| 507 |
{
|
| 508 |
"epoch": 5.601555987774382,
|
| 509 |
+
"eval_loss": 0.1726432889699936,
|
| 510 |
+
"eval_runtime": 3.9865,
|
| 511 |
+
"eval_samples_per_second": 125.423,
|
| 512 |
+
"eval_steps_per_second": 8.027,
|
| 513 |
"step": 20160
|
| 514 |
},
|
| 515 |
{
|
| 516 |
"epoch": 5.6960266740761325,
|
| 517 |
+
"grad_norm": 0.6453366875648499,
|
| 518 |
+
"learning_rate": 0.00042043160137075113,
|
| 519 |
+
"loss": 0.1527,
|
| 520 |
"step": 20500
|
| 521 |
},
|
| 522 |
{
|
| 523 |
"epoch": 5.801611558766324,
|
| 524 |
+
"eval_loss": 0.17778918147087097,
|
| 525 |
+
"eval_runtime": 4.6178,
|
| 526 |
+
"eval_samples_per_second": 108.277,
|
| 527 |
+
"eval_steps_per_second": 6.93,
|
| 528 |
"step": 20880
|
| 529 |
},
|
| 530 |
{
|
| 531 |
"epoch": 5.834954153931648,
|
| 532 |
+
"grad_norm": 0.539543867111206,
|
| 533 |
+
"learning_rate": 0.0004111697693803834,
|
| 534 |
+
"loss": 0.1522,
|
| 535 |
"step": 21000
|
| 536 |
},
|
| 537 |
{
|
| 538 |
"epoch": 5.973881633787163,
|
| 539 |
+
"grad_norm": 0.7059842944145203,
|
| 540 |
+
"learning_rate": 0.0004019079373900158,
|
| 541 |
+
"loss": 0.1483,
|
| 542 |
"step": 21500
|
| 543 |
},
|
| 544 |
{
|
| 545 |
"epoch": 6.001667129758266,
|
| 546 |
+
"eval_loss": 0.16399218142032623,
|
| 547 |
+
"eval_runtime": 4.5977,
|
| 548 |
+
"eval_samples_per_second": 108.749,
|
| 549 |
+
"eval_steps_per_second": 6.96,
|
| 550 |
"step": 21600
|
| 551 |
},
|
| 552 |
{
|
| 553 |
"epoch": 6.112809113642679,
|
| 554 |
+
"grad_norm": 0.6448105573654175,
|
| 555 |
+
"learning_rate": 0.00039264610539964807,
|
| 556 |
+
"loss": 0.1404,
|
| 557 |
"step": 22000
|
| 558 |
},
|
| 559 |
{
|
| 560 |
"epoch": 6.201722700750208,
|
| 561 |
+
"eval_loss": 0.16838781535625458,
|
| 562 |
+
"eval_runtime": 4.653,
|
| 563 |
+
"eval_samples_per_second": 107.459,
|
| 564 |
+
"eval_steps_per_second": 6.877,
|
| 565 |
"step": 22320
|
| 566 |
},
|
| 567 |
{
|
| 568 |
"epoch": 6.251736593498194,
|
| 569 |
+
"grad_norm": 0.6864171028137207,
|
| 570 |
+
"learning_rate": 0.0003834027970732611,
|
| 571 |
+
"loss": 0.1425,
|
| 572 |
"step": 22500
|
| 573 |
},
|
| 574 |
{
|
| 575 |
"epoch": 6.390664073353709,
|
| 576 |
+
"grad_norm": 0.6795888543128967,
|
| 577 |
+
"learning_rate": 0.0003741409650828934,
|
| 578 |
+
"loss": 0.1426,
|
| 579 |
"step": 23000
|
| 580 |
},
|
| 581 |
{
|
| 582 |
"epoch": 6.401778271742151,
|
| 583 |
+
"eval_loss": 0.1665893793106079,
|
| 584 |
+
"eval_runtime": 4.626,
|
| 585 |
+
"eval_samples_per_second": 108.085,
|
| 586 |
+
"eval_steps_per_second": 6.917,
|
| 587 |
"step": 23040
|
| 588 |
},
|
| 589 |
{
|
| 590 |
"epoch": 6.529591553209225,
|
| 591 |
+
"grad_norm": 0.6111213564872742,
|
| 592 |
+
"learning_rate": 0.00036487913309252574,
|
| 593 |
+
"loss": 0.1407,
|
| 594 |
"step": 23500
|
| 595 |
},
|
| 596 |
{
|
| 597 |
"epoch": 6.601833842734093,
|
| 598 |
+
"eval_loss": 0.16504846513271332,
|
| 599 |
+
"eval_runtime": 3.8884,
|
| 600 |
+
"eval_samples_per_second": 128.587,
|
| 601 |
+
"eval_steps_per_second": 8.23,
|
| 602 |
"step": 23760
|
| 603 |
},
|
| 604 |
{
|
| 605 |
"epoch": 6.66851903306474,
|
| 606 |
+
"grad_norm": 0.5933897495269775,
|
| 607 |
+
"learning_rate": 0.000355617301102158,
|
| 608 |
+
"loss": 0.1413,
|
| 609 |
"step": 24000
|
| 610 |
},
|
| 611 |
{
|
| 612 |
"epoch": 6.801889413726035,
|
| 613 |
+
"eval_loss": 0.16348223388195038,
|
| 614 |
+
"eval_runtime": 4.6832,
|
| 615 |
+
"eval_samples_per_second": 106.764,
|
| 616 |
+
"eval_steps_per_second": 6.833,
|
| 617 |
"step": 24480
|
| 618 |
},
|
| 619 |
{
|
| 620 |
"epoch": 6.807446512920255,
|
| 621 |
+
"grad_norm": 0.7584686875343323,
|
| 622 |
+
"learning_rate": 0.00034635546911179033,
|
| 623 |
+
"loss": 0.1405,
|
| 624 |
"step": 24500
|
| 625 |
},
|
| 626 |
{
|
| 627 |
"epoch": 6.946373992775771,
|
| 628 |
+
"grad_norm": 0.614815890789032,
|
| 629 |
+
"learning_rate": 0.00033709363712142263,
|
| 630 |
+
"loss": 0.1386,
|
| 631 |
"step": 25000
|
| 632 |
},
|
| 633 |
{
|
| 634 |
"epoch": 7.001944984717977,
|
| 635 |
+
"eval_loss": 0.16397513449192047,
|
| 636 |
+
"eval_runtime": 4.5957,
|
| 637 |
+
"eval_samples_per_second": 108.798,
|
| 638 |
+
"eval_steps_per_second": 6.963,
|
| 639 |
"step": 25200
|
| 640 |
},
|
| 641 |
{
|
| 642 |
"epoch": 7.085301472631286,
|
| 643 |
+
"grad_norm": 0.5844869613647461,
|
| 644 |
+
"learning_rate": 0.0003278318051310549,
|
| 645 |
+
"loss": 0.1307,
|
| 646 |
"step": 25500
|
| 647 |
},
|
| 648 |
{
|
| 649 |
"epoch": 7.20200055570992,
|
| 650 |
+
"eval_loss": 0.1627485603094101,
|
| 651 |
+
"eval_runtime": 3.892,
|
| 652 |
+
"eval_samples_per_second": 128.47,
|
| 653 |
+
"eval_steps_per_second": 8.222,
|
| 654 |
"step": 25920
|
| 655 |
},
|
| 656 |
{
|
| 657 |
"epoch": 7.2242289524868015,
|
| 658 |
+
"grad_norm": 0.5960623025894165,
|
| 659 |
+
"learning_rate": 0.0003185699731406873,
|
| 660 |
+
"loss": 0.1282,
|
| 661 |
"step": 26000
|
| 662 |
},
|
| 663 |
{
|
| 664 |
"epoch": 7.3631564323423175,
|
| 665 |
+
"grad_norm": 0.5819278359413147,
|
| 666 |
+
"learning_rate": 0.0003093081411503195,
|
| 667 |
+
"loss": 0.1291,
|
| 668 |
"step": 26500
|
| 669 |
},
|
| 670 |
{
|
| 671 |
"epoch": 7.402056126701861,
|
| 672 |
+
"eval_loss": 0.16200314462184906,
|
| 673 |
+
"eval_runtime": 4.5372,
|
| 674 |
+
"eval_samples_per_second": 110.199,
|
| 675 |
+
"eval_steps_per_second": 7.053,
|
| 676 |
"step": 26640
|
| 677 |
},
|
| 678 |
{
|
| 679 |
"epoch": 7.502083912197833,
|
| 680 |
+
"grad_norm": 0.4887467920780182,
|
| 681 |
+
"learning_rate": 0.0003000648328239326,
|
| 682 |
+
"loss": 0.1293,
|
| 683 |
"step": 27000
|
| 684 |
},
|
| 685 |
{
|
| 686 |
"epoch": 7.602111697693804,
|
| 687 |
+
"eval_loss": 0.16259238123893738,
|
| 688 |
+
"eval_runtime": 4.6942,
|
| 689 |
+
"eval_samples_per_second": 106.513,
|
| 690 |
+
"eval_steps_per_second": 6.817,
|
| 691 |
"step": 27360
|
| 692 |
},
|
| 693 |
{
|
| 694 |
"epoch": 7.641011392053348,
|
| 695 |
+
"grad_norm": 0.43387722969055176,
|
| 696 |
+
"learning_rate": 0.0002908030008335649,
|
| 697 |
+
"loss": 0.1291,
|
| 698 |
"step": 27500
|
| 699 |
},
|
| 700 |
{
|
| 701 |
"epoch": 7.779938871908864,
|
| 702 |
+
"grad_norm": 0.6429397463798523,
|
| 703 |
+
"learning_rate": 0.0002815411688431972,
|
| 704 |
+
"loss": 0.128,
|
| 705 |
"step": 28000
|
| 706 |
},
|
| 707 |
{
|
| 708 |
"epoch": 7.802167268685746,
|
| 709 |
+
"eval_loss": 0.15840420126914978,
|
| 710 |
+
"eval_runtime": 3.9278,
|
| 711 |
+
"eval_samples_per_second": 127.299,
|
| 712 |
+
"eval_steps_per_second": 8.147,
|
| 713 |
"step": 28080
|
| 714 |
},
|
| 715 |
{
|
| 716 |
"epoch": 7.918866351764379,
|
| 717 |
+
"grad_norm": 0.47245821356773376,
|
| 718 |
+
"learning_rate": 0.0002722978605168102,
|
| 719 |
+
"loss": 0.1288,
|
| 720 |
"step": 28500
|
| 721 |
},
|
| 722 |
{
|
| 723 |
"epoch": 8.002222839677689,
|
| 724 |
+
"eval_loss": 0.1579759120941162,
|
| 725 |
+
"eval_runtime": 4.1778,
|
| 726 |
+
"eval_samples_per_second": 119.68,
|
| 727 |
+
"eval_steps_per_second": 7.66,
|
| 728 |
"step": 28800
|
| 729 |
},
|
| 730 |
{
|
| 731 |
"epoch": 8.057793831619895,
|
| 732 |
+
"grad_norm": 0.6740341782569885,
|
| 733 |
+
"learning_rate": 0.00026303602852644257,
|
| 734 |
+
"loss": 0.1217,
|
| 735 |
"step": 29000
|
| 736 |
},
|
| 737 |
{
|
| 738 |
"epoch": 8.19672131147541,
|
| 739 |
+
"grad_norm": 0.6444827318191528,
|
| 740 |
+
"learning_rate": 0.00025377419653607486,
|
| 741 |
+
"loss": 0.1182,
|
| 742 |
"step": 29500
|
| 743 |
},
|
| 744 |
{
|
| 745 |
"epoch": 8.20227841066963,
|
| 746 |
+
"eval_loss": 0.15706072747707367,
|
| 747 |
+
"eval_runtime": 4.5983,
|
| 748 |
+
"eval_samples_per_second": 108.735,
|
| 749 |
+
"eval_steps_per_second": 6.959,
|
| 750 |
"step": 29520
|
| 751 |
},
|
| 752 |
{
|
| 753 |
"epoch": 8.335648791330925,
|
| 754 |
+
"grad_norm": 0.6599079370498657,
|
| 755 |
+
"learning_rate": 0.00024451236454570716,
|
| 756 |
+
"loss": 0.1166,
|
| 757 |
"step": 30000
|
| 758 |
},
|
| 759 |
{
|
| 760 |
"epoch": 8.402333981661572,
|
| 761 |
+
"eval_loss": 0.15387499332427979,
|
| 762 |
+
"eval_runtime": 4.1869,
|
| 763 |
+
"eval_samples_per_second": 119.419,
|
| 764 |
+
"eval_steps_per_second": 7.643,
|
| 765 |
"step": 30240
|
| 766 |
},
|
| 767 |
{
|
| 768 |
"epoch": 8.474576271186441,
|
| 769 |
+
"grad_norm": 0.4398277997970581,
|
| 770 |
+
"learning_rate": 0.00023525053255533945,
|
| 771 |
+
"loss": 0.1178,
|
| 772 |
"step": 30500
|
| 773 |
},
|
| 774 |
{
|
| 775 |
"epoch": 8.602389552653515,
|
| 776 |
+
"eval_loss": 0.15714193880558014,
|
| 777 |
+
"eval_runtime": 3.9157,
|
| 778 |
+
"eval_samples_per_second": 127.69,
|
| 779 |
+
"eval_steps_per_second": 8.172,
|
| 780 |
"step": 30960
|
| 781 |
},
|
| 782 |
{
|
| 783 |
"epoch": 8.613503751041955,
|
| 784 |
+
"grad_norm": 0.7029595971107483,
|
| 785 |
+
"learning_rate": 0.00022598870056497178,
|
| 786 |
+
"loss": 0.1188,
|
| 787 |
"step": 31000
|
| 788 |
},
|
| 789 |
{
|
| 790 |
"epoch": 8.752431230897471,
|
| 791 |
+
"grad_norm": 0.8394140601158142,
|
| 792 |
+
"learning_rate": 0.00021672686857460404,
|
| 793 |
+
"loss": 0.1154,
|
| 794 |
"step": 31500
|
| 795 |
},
|
| 796 |
{
|
| 797 |
"epoch": 8.802445123645457,
|
| 798 |
+
"eval_loss": 0.15471811592578888,
|
| 799 |
+
"eval_runtime": 4.5747,
|
| 800 |
+
"eval_samples_per_second": 109.297,
|
| 801 |
+
"eval_steps_per_second": 6.995,
|
| 802 |
"step": 31680
|
| 803 |
},
|
| 804 |
{
|
| 805 |
"epoch": 8.891358710752987,
|
| 806 |
+
"grad_norm": 0.5649506449699402,
|
| 807 |
+
"learning_rate": 0.0002074835602482171,
|
| 808 |
+
"loss": 0.1163,
|
| 809 |
"step": 32000
|
| 810 |
}
|
| 811 |
],
|
checkpoint-32391/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ac71e3cdd10165b76004d5b1c4b8cd4a183b94ec338868fce8dc9960bf7c890
|
| 3 |
+
size 5496
|