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- .gitattributes +2 -0
- mesh_tensorflow_checkpoints/model.ckpt-1229941.data-00000-of-00002 +0 -0
- mesh_tensorflow_checkpoints/model.ckpt-1229941.data-00001-of-00002 +3 -0
- mesh_tensorflow_checkpoints/model.ckpt-1229941.index +0 -0
- mesh_tensorflow_checkpoints/model.ckpt-1229941.meta +3 -0
- mesh_tensorflow_checkpoints/operative_config.gin +245 -0
.gitattributes
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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mesh_tensorflow_checkpoints/model.ckpt-1229941.data-00001-of-00002 filter=lfs diff=lfs merge=lfs -text
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mesh_tensorflow_checkpoints/model.ckpt-1229941.meta filter=lfs diff=lfs merge=lfs -text
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mesh_tensorflow_checkpoints/model.ckpt-1229941.data-00000-of-00002
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mesh_tensorflow_checkpoints/model.ckpt-1229941.data-00001-of-00002
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size 447754240
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mesh_tensorflow_checkpoints/model.ckpt-1229941.index
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Binary file (10.9 kB). View file
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mesh_tensorflow_checkpoints/model.ckpt-1229941.meta
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version https://git-lfs.github.com/spec/v1
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oid sha256:bfffa5a090374ff8c00b448a3bb252c333c03eabc87bc162b9ca00c9ca72be20
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size 20914843
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mesh_tensorflow_checkpoints/operative_config.gin
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| 1 |
+
import mesh_tensorflow.optimize
|
| 2 |
+
import mesh_tensorflow.transformer.dataset
|
| 3 |
+
import mesh_tensorflow.transformer.learning_rate_schedules
|
| 4 |
+
import mesh_tensorflow.transformer.t2t_vocabulary
|
| 5 |
+
import mesh_tensorflow.transformer.transformer_layers
|
| 6 |
+
import mesh_tensorflow.transformer.utils
|
| 7 |
+
import t5.data.sentencepiece_vocabulary
|
| 8 |
+
import t5.models.mesh_transformer
|
| 9 |
+
|
| 10 |
+
# Macros:
|
| 11 |
+
# ==============================================================================
|
| 12 |
+
d_ff = 3072
|
| 13 |
+
d_kv = 64
|
| 14 |
+
d_model = 768
|
| 15 |
+
dropout_rate = 0.1
|
| 16 |
+
num_heads = 12
|
| 17 |
+
num_layers = 12
|
| 18 |
+
|
| 19 |
+
# Parameters for AdafactorOptimizer:
|
| 20 |
+
# ==============================================================================
|
| 21 |
+
AdafactorOptimizer.beta1 = 0.0
|
| 22 |
+
AdafactorOptimizer.clipping_threshold = 1.0
|
| 23 |
+
AdafactorOptimizer.decay_rate = None
|
| 24 |
+
AdafactorOptimizer.epsilon1 = 1e-30
|
| 25 |
+
AdafactorOptimizer.epsilon2 = 0.001
|
| 26 |
+
AdafactorOptimizer.factored = True
|
| 27 |
+
AdafactorOptimizer.min_dim_size_to_factor = 128
|
| 28 |
+
AdafactorOptimizer.multiply_by_parameter_scale = True
|
| 29 |
+
|
| 30 |
+
# Parameters for Bitransformer:
|
| 31 |
+
# ==============================================================================
|
| 32 |
+
Bitransformer.shared_embedding = True
|
| 33 |
+
|
| 34 |
+
# Parameters for denoise:
|
| 35 |
+
# ==============================================================================
|
| 36 |
+
# None.
|
| 37 |
+
|
| 38 |
+
# Parameters for decoder/DenseReluDense:
|
| 39 |
+
# ==============================================================================
|
| 40 |
+
decoder/DenseReluDense.activation = 'relu'
|
| 41 |
+
decoder/DenseReluDense.dropout_rate = %dropout_rate
|
| 42 |
+
decoder/DenseReluDense.hidden_size = %d_ff
|
| 43 |
+
|
| 44 |
+
# Parameters for encoder/DenseReluDense:
|
| 45 |
+
# ==============================================================================
|
| 46 |
+
encoder/DenseReluDense.activation = 'relu'
|
| 47 |
+
encoder/DenseReluDense.dropout_rate = %dropout_rate
|
| 48 |
+
encoder/DenseReluDense.hidden_size = %d_ff
|
| 49 |
+
|
| 50 |
+
# Parameters for decoder/EncDecAttention:
|
| 51 |
+
# ==============================================================================
|
| 52 |
+
# None.
|
| 53 |
+
|
| 54 |
+
# Parameters for get_variable_dtype:
|
| 55 |
+
# ==============================================================================
|
| 56 |
+
get_variable_dtype.activation_dtype = 'bfloat16'
|
| 57 |
+
|
| 58 |
+
# Parameters for get_vocab_embedding_cls:
|
| 59 |
+
# ==============================================================================
|
| 60 |
+
# None.
|
| 61 |
+
|
| 62 |
+
# Parameters for get_vocabulary:
|
| 63 |
+
# ==============================================================================
|
| 64 |
+
# None.
|
| 65 |
+
|
| 66 |
+
# Parameters for iid_noise_mask:
|
| 67 |
+
# ==============================================================================
|
| 68 |
+
# None.
|
| 69 |
+
|
| 70 |
+
# Parameters for decoder/LayerStack:
|
| 71 |
+
# ==============================================================================
|
| 72 |
+
decoder/LayerStack.dropout_rate = %dropout_rate
|
| 73 |
+
decoder/LayerStack.norm_epsilon = 1e-06
|
| 74 |
+
decoder/LayerStack.recompute_grads = False
|
| 75 |
+
|
| 76 |
+
# Parameters for encoder/LayerStack:
|
| 77 |
+
# ==============================================================================
|
| 78 |
+
encoder/LayerStack.dropout_rate = %dropout_rate
|
| 79 |
+
encoder/LayerStack.norm_epsilon = 1e-06
|
| 80 |
+
encoder/LayerStack.recompute_grads = False
|
| 81 |
+
|
| 82 |
+
# Parameters for make_bitransformer:
|
| 83 |
+
# ==============================================================================
|
| 84 |
+
make_bitransformer.decoder_name = 'decoder'
|
| 85 |
+
make_bitransformer.encoder_name = 'encoder'
|
| 86 |
+
|
| 87 |
+
# Parameters for decoder/make_layer_stack:
|
| 88 |
+
# ==============================================================================
|
| 89 |
+
decoder/make_layer_stack.block_scope = True
|
| 90 |
+
decoder/make_layer_stack.layers = \
|
| 91 |
+
[@mesh_tensorflow.transformer.transformer_layers.SelfAttention,
|
| 92 |
+
@mesh_tensorflow.transformer.transformer_layers.EncDecAttention,
|
| 93 |
+
@mesh_tensorflow.transformer.transformer_layers.DenseReluDense]
|
| 94 |
+
decoder/make_layer_stack.num_layers = %num_layers
|
| 95 |
+
|
| 96 |
+
# Parameters for encoder/make_layer_stack:
|
| 97 |
+
# ==============================================================================
|
| 98 |
+
encoder/make_layer_stack.block_scope = True
|
| 99 |
+
encoder/make_layer_stack.layers = \
|
| 100 |
+
[@mesh_tensorflow.transformer.transformer_layers.SelfAttention,
|
| 101 |
+
@mesh_tensorflow.transformer.transformer_layers.DenseReluDense]
|
| 102 |
+
encoder/make_layer_stack.num_layers = %num_layers
|
| 103 |
+
|
| 104 |
+
# Parameters for maybe_print_dataset:
|
| 105 |
+
# ==============================================================================
|
| 106 |
+
maybe_print_dataset.should_print = False
|
| 107 |
+
|
| 108 |
+
# Parameters for mesh_train_dataset_fn:
|
| 109 |
+
# ==============================================================================
|
| 110 |
+
mesh_train_dataset_fn.use_cached = False
|
| 111 |
+
|
| 112 |
+
# Parameters for MtfModel:
|
| 113 |
+
# ==============================================================================
|
| 114 |
+
MtfModel.autostack = True
|
| 115 |
+
MtfModel.ensemble_inputs = None
|
| 116 |
+
MtfModel.gcp_project = None
|
| 117 |
+
MtfModel.layout_rules = \
|
| 118 |
+
'ensemble:ensemble,batch:batch,d_ff:model,heads:model,vocab:model,experts:batch'
|
| 119 |
+
MtfModel.mesh_devices = None
|
| 120 |
+
MtfModel.mesh_shape = None
|
| 121 |
+
MtfModel.model_type = 'bitransformer'
|
| 122 |
+
MtfModel.optimizer = None
|
| 123 |
+
MtfModel.predict_fn = None
|
| 124 |
+
MtfModel.tpu_job_name = None
|
| 125 |
+
MtfModel.tpu_zone = None
|
| 126 |
+
MtfModel.variable_filter = None
|
| 127 |
+
|
| 128 |
+
# Parameters for noise_token_to_sentinel:
|
| 129 |
+
# ==============================================================================
|
| 130 |
+
# None.
|
| 131 |
+
|
| 132 |
+
# Parameters for num_parallel_calls:
|
| 133 |
+
# ==============================================================================
|
| 134 |
+
num_parallel_calls.deterministic = False
|
| 135 |
+
|
| 136 |
+
# Parameters for pack_dataset:
|
| 137 |
+
# ==============================================================================
|
| 138 |
+
pack_dataset.use_custom_ops = False
|
| 139 |
+
|
| 140 |
+
# Parameters for pack_or_pad:
|
| 141 |
+
# ==============================================================================
|
| 142 |
+
# None.
|
| 143 |
+
|
| 144 |
+
# Parameters for decoder/SelfAttention:
|
| 145 |
+
# ==============================================================================
|
| 146 |
+
decoder/SelfAttention.attention_func = None
|
| 147 |
+
decoder/SelfAttention.attention_kwargs = None
|
| 148 |
+
decoder/SelfAttention.combine_dims = True
|
| 149 |
+
decoder/SelfAttention.dropout_rate = %dropout_rate
|
| 150 |
+
decoder/SelfAttention.keep_query_heads_dims = False
|
| 151 |
+
decoder/SelfAttention.key_value_size = %d_kv
|
| 152 |
+
decoder/SelfAttention.num_heads = %num_heads
|
| 153 |
+
decoder/SelfAttention.num_memory_heads = 0
|
| 154 |
+
decoder/SelfAttention.relative_attention_num_buckets = 32
|
| 155 |
+
decoder/SelfAttention.relative_attention_type = 'bias_shared'
|
| 156 |
+
decoder/SelfAttention.shared_kv = False
|
| 157 |
+
|
| 158 |
+
# Parameters for encoder/SelfAttention:
|
| 159 |
+
# ==============================================================================
|
| 160 |
+
encoder/SelfAttention.attention_func = None
|
| 161 |
+
encoder/SelfAttention.attention_kwargs = None
|
| 162 |
+
encoder/SelfAttention.combine_dims = True
|
| 163 |
+
encoder/SelfAttention.dropout_rate = %dropout_rate
|
| 164 |
+
encoder/SelfAttention.keep_query_heads_dims = False
|
| 165 |
+
encoder/SelfAttention.key_value_size = %d_kv
|
| 166 |
+
encoder/SelfAttention.num_heads = %num_heads
|
| 167 |
+
encoder/SelfAttention.num_memory_heads = 0
|
| 168 |
+
encoder/SelfAttention.relative_attention_num_buckets = 32
|
| 169 |
+
encoder/SelfAttention.relative_attention_type = 'bias_shared'
|
| 170 |
+
encoder/SelfAttention.shared_kv = False
|
| 171 |
+
|
| 172 |
+
# Parameters for SentencePieceVocabulary:
|
| 173 |
+
# ==============================================================================
|
| 174 |
+
# None.
|
| 175 |
+
|
| 176 |
+
# Parameters for sentinel_id:
|
| 177 |
+
# ==============================================================================
|
| 178 |
+
sentinel_id.return_value = None
|
| 179 |
+
|
| 180 |
+
# Parameters for serialize_num_microbatches:
|
| 181 |
+
# ==============================================================================
|
| 182 |
+
serialize_num_microbatches.tokens_per_microbatch_per_replica = 8192
|
| 183 |
+
|
| 184 |
+
# Parameters for shift_targets:
|
| 185 |
+
# ==============================================================================
|
| 186 |
+
shift_targets.bos_id = 0
|
| 187 |
+
shift_targets.eos_id = 1
|
| 188 |
+
|
| 189 |
+
# Parameters for tpu_estimator_model_fn:
|
| 190 |
+
# ==============================================================================
|
| 191 |
+
tpu_estimator_model_fn.model_info_file = None
|
| 192 |
+
tpu_estimator_model_fn.outer_batch_size = 1
|
| 193 |
+
tpu_estimator_model_fn.tpu_summaries = False
|
| 194 |
+
|
| 195 |
+
# Parameters for tpu_mesh_shape:
|
| 196 |
+
# ==============================================================================
|
| 197 |
+
tpu_mesh_shape.ensemble_parallelism = None
|
| 198 |
+
|
| 199 |
+
# Parameters for decoder/Unitransformer:
|
| 200 |
+
# ==============================================================================
|
| 201 |
+
decoder/Unitransformer.d_model = %d_model
|
| 202 |
+
decoder/Unitransformer.ensemble = None
|
| 203 |
+
decoder/Unitransformer.input_full_attention = False
|
| 204 |
+
decoder/Unitransformer.label_smoothing = 0.0
|
| 205 |
+
decoder/Unitransformer.loss_denominator = 233472
|
| 206 |
+
decoder/Unitransformer.loss_fn = None
|
| 207 |
+
decoder/Unitransformer.loss_on_targets_only = False
|
| 208 |
+
decoder/Unitransformer.max_length = 512
|
| 209 |
+
decoder/Unitransformer.positional_embedding = False
|
| 210 |
+
decoder/Unitransformer.shared_embedding_and_softmax_weights = True
|
| 211 |
+
decoder/Unitransformer.sinusoid_positional_embedding = False
|
| 212 |
+
decoder/Unitransformer.token_dropout_rate = 0.0
|
| 213 |
+
decoder/Unitransformer.vocab_divisor = 128
|
| 214 |
+
decoder/Unitransformer.z_loss = 0.0001
|
| 215 |
+
|
| 216 |
+
# Parameters for encoder/Unitransformer:
|
| 217 |
+
# ==============================================================================
|
| 218 |
+
encoder/Unitransformer.d_model = %d_model
|
| 219 |
+
encoder/Unitransformer.ensemble = None
|
| 220 |
+
encoder/Unitransformer.input_full_attention = False
|
| 221 |
+
encoder/Unitransformer.label_smoothing = 0.0
|
| 222 |
+
encoder/Unitransformer.loss_denominator = None
|
| 223 |
+
encoder/Unitransformer.loss_fn = None
|
| 224 |
+
encoder/Unitransformer.loss_on_targets_only = False
|
| 225 |
+
encoder/Unitransformer.max_length = 512
|
| 226 |
+
encoder/Unitransformer.positional_embedding = False
|
| 227 |
+
encoder/Unitransformer.shared_embedding_and_softmax_weights = True
|
| 228 |
+
encoder/Unitransformer.sinusoid_positional_embedding = False
|
| 229 |
+
encoder/Unitransformer.token_dropout_rate = 0.0
|
| 230 |
+
encoder/Unitransformer.vocab_divisor = 128
|
| 231 |
+
encoder/Unitransformer.z_loss = 0.0001
|
| 232 |
+
|
| 233 |
+
# Parameters for VarianceScalingInitializer:
|
| 234 |
+
# ==============================================================================
|
| 235 |
+
VarianceScalingInitializer.distribution = 'normal'
|
| 236 |
+
VarianceScalingInitializer.mode = 'fan_in'
|
| 237 |
+
VarianceScalingInitializer.scale = 1.0
|
| 238 |
+
|
| 239 |
+
# Parameters for VocabEmbedding:
|
| 240 |
+
# ==============================================================================
|
| 241 |
+
# None.
|
| 242 |
+
|
| 243 |
+
# Parameters for Vocabulary:
|
| 244 |
+
# ==============================================================================
|
| 245 |
+
# None.
|