amanneo commited on
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Training in progress epoch 0

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  1. README.md +7 -16
  2. config.json +1 -1
  3. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 3.8951
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- - Train Accuracy: 0.0451
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- - Validation Loss: 4.3546
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- - Validation Accuracy: 0.0447
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- - Epoch: 9
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  ## Model description
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@@ -37,23 +37,14 @@ More information needed
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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': 125, '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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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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- | 4.1322 | 0.0446 | 4.3546 | 0.0447 | 0 |
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- | 3.8960 | 0.0449 | 4.3546 | 0.0447 | 1 |
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- | 3.8963 | 0.0451 | 4.3546 | 0.0447 | 2 |
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- | 3.8952 | 0.0451 | 4.3546 | 0.0447 | 3 |
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- | 3.8945 | 0.0451 | 4.3546 | 0.0447 | 4 |
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- | 3.8949 | 0.0451 | 4.3546 | 0.0447 | 5 |
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- | 3.8939 | 0.0451 | 4.3546 | 0.0447 | 6 |
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- | 3.8947 | 0.0449 | 4.3546 | 0.0447 | 7 |
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- | 3.8942 | 0.0449 | 4.3546 | 0.0447 | 8 |
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- | 3.8951 | 0.0451 | 4.3546 | 0.0447 | 9 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 7.1912
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+ - Train Accuracy: 0.0424
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+ - Validation Loss: 5.8111
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+ - Validation Accuracy: 0.0344
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+ - Epoch: 0
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'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': 125, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
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  - training_precision: mixed_float16
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  ### Training results
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 7.1912 | 0.0424 | 5.8111 | 0.0344 | 0 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
config.json CHANGED
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  "initializer_range": 0.02,
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  "layer_norm_epsilon": 1e-05,
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  "model_type": "gpt2",
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- "n_ctx": 1024,
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  "n_embd": 768,
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  "n_head": 12,
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  "n_inner": null,
 
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  "initializer_range": 0.02,
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  "layer_norm_epsilon": 1e-05,
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  "model_type": "gpt2",
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+ "n_ctx": 40,
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  "n_embd": 768,
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  "n_head": 12,
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  "n_inner": null,
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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