Upload model
Browse files- README.md +2 -2
- config.json +1 -1
- tf_model.h5 +2 -2
README.md
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# distilGPTBhai
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This model
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It achieves the following results on the evaluation set:
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps':
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- training_precision: mixed_float16
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### Training results
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# distilGPTBhai
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 43908, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: mixed_float16
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### Training results
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config.json
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{
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"_name_or_path": "raygx/
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"_num_labels": 1,
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"activation_function": "gelu_new",
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"architectures": [
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{
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"_name_or_path": "raygx/distilGPTBhai",
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"_num_labels": 1,
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"activation_function": "gelu_new",
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"architectures": [
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:6697a42c0688c2aba40d8d36108ab8feacb6410ce419995bf1fcbc045890693d
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size 326965184
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