Training in progress epoch 0
Browse files- README.md +7 -16
- config.json +1 -1
- tf_model.h5 +1 -1
README.md
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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:
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- Train Accuracy: 0.
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- Validation Loss:
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- Validation Accuracy: 0.
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- Epoch:
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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: {'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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| 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
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config.json
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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":
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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,
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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 497935464
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c8c55918c00a2537479d975a796b3a9f3f16d75c340275277e7780e327e9d47
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size 497935464
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