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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: amanneo/mail-generator-mini |
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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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# amanneo/mail-generator-mini |
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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: 5.4613 |
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- Train Accuracy: 0.1611 |
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- Validation Loss: 5.2617 |
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- Validation Accuracy: 0.1386 |
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- Epoch: 9 |
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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: {'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': -925, '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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| 10.0053 | 0.1068 | 8.5247 | 0.1394 | 0 | |
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| 8.7772 | 0.1505 | 7.9685 | 0.1656 | 1 | |
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| 8.2057 | 0.1663 | 7.4436 | 0.1655 | 2 | |
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| 7.5786 | 0.1611 | 6.8572 | 0.1654 | 3 | |
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| 6.9698 | 0.1679 | 6.3646 | 0.1735 | 4 | |
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| 6.4911 | 0.1763 | 6.0124 | 0.1787 | 5 | |
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| 6.1632 | 0.1834 | 5.7751 | 0.1826 | 6 | |
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| 5.9057 | 0.1840 | 5.5786 | 0.1749 | 7 | |
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| 5.6874 | 0.1758 | 5.4023 | 0.1616 | 8 | |
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| 5.4613 | 0.1611 | 5.2617 | 0.1386 | 9 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- TensorFlow 2.9.2 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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