Upload model
Browse files- README.md +16 -13
- config.json +1 -1
- tf_model.h5 +2 -2
README.md
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@@ -14,13 +14,13 @@ 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:
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- Train Accuracy: 0.
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- Train Perplexity:
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- Validation Loss: 0.
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- Validation Accuracy: 0.0
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- Validation Perplexity:
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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': 1e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps':
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- training_precision: mixed_float16
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### Training results
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| Train Loss | Train Accuracy | Train Perplexity | Validation Loss | Validation Accuracy | Validation Perplexity | Epoch |
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|:----------:|:--------------:|:----------------:|:---------------:|:-------------------:|:---------------------:|:-----:|
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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: 0.3524
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- Train Accuracy: 0.0000
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- Train Perplexity: 18824.3340
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- Validation Loss: 0.3106
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- Validation Accuracy: 0.0
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- Validation Perplexity: 39785.5430
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- Epoch: 8
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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': 1e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 16381, '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 | Train Perplexity | Validation Loss | Validation Accuracy | Validation Perplexity | Epoch |
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|:----------:|:--------------:|:----------------:|:---------------:|:-------------------:|:---------------------:|:-----:|
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| 0.6295 | 0.0032 | 100042.4062 | 0.3106 | 0.0 | 39785.5273 | 0 |
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| 0.3528 | 0.0000 | 18560.1328 | 0.3106 | 0.0 | 39785.5391 | 1 |
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| 0.3525 | 0.0000 | 18773.9668 | 0.3106 | 0.0 | 39785.5156 | 2 |
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| 0.3525 | 0.0 | 18342.8223 | 0.3106 | 0.0 | 39785.5078 | 3 |
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| 0.3525 | 0.0000 | 19026.9180 | 0.3106 | 0.0 | 39785.5508 | 4 |
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| 0.3526 | 0.0 | 19108.625 | 0.3106 | 0.0 | 39785.5195 | 5 |
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| 0.3526 | 0.0000 | 19143.7520 | 0.3106 | 0.0 | 39785.5312 | 6 |
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| 0.3525 | 0.0000 | 18503.0938 | 0.3106 | 0.0 | 39785.5195 | 7 |
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| 0.3524 | 0.0000 | 18824.3340 | 0.3106 | 0.0 | 39785.5430 | 8 |
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### Framework versions
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config.json
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},
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"transformers_version": "4.26.0",
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"use_cache": true,
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"vocab_size":
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}
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},
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"transformers_version": "4.26.0",
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"use_cache": true,
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"vocab_size": 1814
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}
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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:bc4b029f38898205c326f6444d735540115f93d540fc5018990920f170cb2416
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size 349118544
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