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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: ghdi/punic-model |
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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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# ghdi/punic-model |
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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: 3.9858 |
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- Validation Loss: 7.6193 |
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- Epoch: 59 |
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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': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -984, '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 | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 10.9100 | 10.8188 | 0 | |
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| 10.7129 | 10.4690 | 1 | |
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| 10.3775 | 10.1048 | 2 | |
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| 10.0587 | 9.8271 | 3 | |
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| 9.8034 | 9.6395 | 4 | |
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| 9.6209 | 9.5085 | 5 | |
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| 9.5047 | 9.4043 | 6 | |
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| 9.3724 | 9.3072 | 7 | |
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| 9.2873 | 9.2090 | 8 | |
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| 9.1690 | 9.1091 | 9 | |
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| 8.9963 | 9.0013 | 10 | |
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| 8.8724 | 8.8875 | 11 | |
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| 8.7316 | 8.7701 | 12 | |
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| 8.6070 | 8.6477 | 13 | |
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| 8.4242 | 8.5243 | 14 | |
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| 8.2700 | 8.4018 | 15 | |
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| 8.1555 | 8.2834 | 16 | |
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| 7.9978 | 8.1696 | 17 | |
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| 7.8495 | 8.0607 | 18 | |
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| 7.6980 | 7.9635 | 19 | |
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| 7.5339 | 7.8726 | 20 | |
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| 7.4741 | 7.7917 | 21 | |
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| 7.3669 | 7.7233 | 22 | |
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| 7.2598 | 7.6604 | 23 | |
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| 7.1434 | 7.6088 | 24 | |
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| 7.0434 | 7.5579 | 25 | |
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| 6.9874 | 7.5171 | 26 | |
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| 6.8629 | 7.4881 | 27 | |
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| 6.8293 | 7.4694 | 28 | |
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| 6.6349 | 7.4367 | 29 | |
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| 6.7589 | 7.4071 | 30 | |
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| 6.5890 | 7.4003 | 31 | |
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| 6.5476 | 7.3576 | 32 | |
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| 6.4606 | 7.3400 | 33 | |
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| 6.3945 | 7.3327 | 34 | |
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| 6.2495 | 7.3435 | 35 | |
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| 6.0722 | 7.3375 | 36 | |
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| 6.1324 | 7.3365 | 37 | |
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| 6.0493 | 7.3458 | 38 | |
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| 5.9514 | 7.4002 | 39 | |
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| 5.8638 | 7.3356 | 40 | |
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| 5.7390 | 7.3488 | 41 | |
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| 5.6403 | 7.3687 | 42 | |
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| 5.5442 | 7.3831 | 43 | |
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| 5.4542 | 7.3888 | 44 | |
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| 5.3243 | 7.4340 | 45 | |
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| 5.2295 | 7.4170 | 46 | |
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| 5.1436 | 7.4110 | 47 | |
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| 5.0199 | 7.5223 | 48 | |
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| 4.9058 | 7.5142 | 49 | |
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| 4.8393 | 7.4926 | 50 | |
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| 4.7104 | 7.5253 | 51 | |
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| 4.6212 | 7.5420 | 52 | |
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| 4.5298 | 7.5799 | 53 | |
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| 4.4251 | 7.5940 | 54 | |
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| 4.3130 | 7.5752 | 55 | |
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| 4.2240 | 7.6315 | 56 | |
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| 4.1587 | 7.6412 | 57 | |
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| 4.0442 | 7.6748 | 58 | |
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| 3.9858 | 7.6193 | 59 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- TensorFlow 2.12.0 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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