Training in progress, step 244000

.gitattributes

@@ -29,3 +29,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.wandb filter=lfs diff=lfs merge=lfs -text

.gitignore

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+checkpoint-*/

added_tokens.json

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+{"<s>": 39, "</s>": 40}

config.json

@@ -0,0 +1,107 @@
+{
+  "_name_or_path": "facebook/wav2vec2-xls-r-1b",
+  "activation_dropout": 0.055,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForCTC"
+  ],
+  "attention_dropout": 0.094,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 1024,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": true,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.04,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.047,
+  "hidden_size": 1280,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.041,
+  "mask_feature_length": 64,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.25,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.082,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 48,
+  "num_negatives": 100,
+  "output_hidden_size": 1280,
+  "pad_token_id": 38,
+  "proj_codevector_dim": 1024,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.18.0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 41,
+  "xvector_output_dim": 512
+}

preprocessor_config.json

@@ -0,0 +1,9 @@
+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cdd60b3c32d307fdc43b8edadd2d4fddfd55cb5317cb2717415299803b6fdfd6
+size 3850475057

special_tokens_map.json

@@ -0,0 +1 @@
+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]", "additional_special_tokens": [{"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}]}

tokenizer_config.json

@@ -0,0 +1 @@
+{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "replace_word_delimiter_char": " ", "special_tokens_map_file": null, "name_or_path": "./", "tokenizer_class": "Wav2Vec2CTCTokenizer"}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c7b6816ff01a2c4a184c5e6d73f4b21172842e179e0e42c387e491b10c6bc2ac
+size 3055

vocab.json

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+{"(": 1, ")": 2, "0": 3, "3": 4, "7": 5, "8": 6, "9": 7, "a": 8, "b": 9, "c": 10, "d": 11, "e": 12, "f": 13, "g": 14, "h": 15, "i": 16, "j": 17, "k": 18, "l": 19, "m": 20, "n": 21, "o": 22, "p": 23, "q": 24, "r": 25, "s": 26, "t": 27, "u": 28, "v": 29, "w": 30, "x": 31, "y": 32, "z": 33, "å": 34, "æ": 35, "ø": 36, "|": 0, "[UNK]": 37, "[PAD]": 38}

wandb/debug-internal.log

@@ -0,0 +1 @@
+run-20220829_122920-1y92iq2k/logs/debug-internal.log

wandb/debug.log

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+run-20220829_122920-1y92iq2k/logs/debug.log

wandb/latest-run

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+run-20220829_122920-1y92iq2k

wandb/run-20220829_122920-1y92iq2k/files/output.log

@@ -0,0 +1,1743 @@
+
+  0%|                                                                                                                                                                                                                                                  | 0/507640 [00:00<?, ?it/s]
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+ 48%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                                                                                                     | 243599/507640 [31:31<186:17:30,  2.54s/it]
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+ 48%|████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                                                                     | 243699/507640 [35:21<179:40:55,  2.45s/it]
+{'loss': 0.0442, 'learning_rate': 1.0443477572976824e-05, 'epoch': 19.2}
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+ 48%|████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                                                                     | 243799/507640 [39:12<185:57:13,  2.54s/it]
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+ 48%|████████████████████████████████████████████████████████████████████████████████████████████████████████████                                                                                                                     | 243899/507640 [43:06<180:02:45,  2.46s/it]
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+***** Running Evaluation *****███████████████████████████████████████████████████████████████████████████████████▏                                                                                                                    | 244000/507640 [47:03<182:23:50,  2.49s/it]
+  Num examples = 40612
+  Batch size = 12
+{'loss': 0.0483, 'learning_rate': 1.0431611423146903e-05, 'epoch': 19.23}
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+100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3385/3385 [44:18<00:00,  1.60it/s]
+Saving model checkpoint to ./checkpoint-244000
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