| | --- |
| | license: mit |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: pradeep4321/model2 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| | probably proofread and complete it, then remove this comment. --> |
| |
|
| | # pradeep4321/model2 |
| |
|
| | This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 5.9225 |
| | - Validation Loss: 7.0365 |
| | - Epoch: 21 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 200, '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} |
| | - training_precision: mixed_float16 |
| | |
| | ### Training results |
| | |
| | | Train Loss | Validation Loss | Epoch | |
| | |:----------:|:---------------:|:-----:| |
| | | 7.2465 | 7.5143 | 0 | |
| | | 7.1890 | 7.4800 | 1 | |
| | | 7.1104 | 7.4496 | 2 | |
| | | 7.0491 | 7.4218 | 3 | |
| | | 7.0064 | 7.3964 | 4 | |
| | | 6.9428 | 7.3732 | 5 | |
| | | 6.9061 | 7.3505 | 6 | |
| | | 6.8538 | 7.3301 | 7 | |
| | | 6.7857 | 7.3108 | 8 | |
| | | 6.7253 | 7.2893 | 9 | |
| | | 6.6743 | 7.2693 | 10 | |
| | | 6.5944 | 7.2491 | 11 | |
| | | 6.5499 | 7.2288 | 12 | |
| | | 6.4767 | 7.2084 | 13 | |
| | | 6.4145 | 7.1887 | 14 | |
| | | 6.3713 | 7.1664 | 15 | |
| | | 6.2863 | 7.1450 | 16 | |
| | | 6.2017 | 7.1229 | 17 | |
| | | 6.1524 | 7.1017 | 18 | |
| | | 6.0841 | 7.0788 | 19 | |
| | | 5.9643 | 7.0540 | 20 | |
| | | 5.9225 | 7.0365 | 21 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.29.0 |
| | - TensorFlow 2.12.0 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| | |
