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--- |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: botGPT2_Context_v1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# botGPT2_Context_v1 |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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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- Transformers 4.26.0 |
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- TensorFlow 2.11.0 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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