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--- |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: distilgpt_new_0060 |
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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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# distilgpt_new_0060 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.1173 |
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- Validation Loss: 1.0714 |
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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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 3.5889 | 2.6197 | 0 | |
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| 2.4784 | 2.2040 | 1 | |
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| 2.1855 | 1.9980 | 2 | |
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| 2.0181 | 1.8643 | 3 | |
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| 1.9031 | 1.7652 | 4 | |
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| 1.8166 | 1.6924 | 5 | |
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| 1.7467 | 1.6360 | 6 | |
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| 1.6904 | 1.5843 | 7 | |
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| 1.6430 | 1.5421 | 8 | |
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| 1.6021 | 1.5059 | 9 | |
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| 1.5668 | 1.4761 | 10 | |
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| 1.5359 | 1.4481 | 11 | |
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| 1.5071 | 1.4220 | 12 | |
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| 1.4841 | 1.4020 | 13 | |
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| 1.4608 | 1.3797 | 14 | |
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| 1.4399 | 1.3595 | 15 | |
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| 1.4213 | 1.3426 | 16 | |
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| 1.4031 | 1.3266 | 17 | |
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| 1.3875 | 1.3113 | 18 | |
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| 1.3735 | 1.3024 | 19 | |
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| 1.3600 | 1.2871 | 20 | |
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| 1.3456 | 1.2753 | 21 | |
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| 1.3336 | 1.2648 | 22 | |
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| 1.3214 | 1.2539 | 23 | |
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| 1.3103 | 1.2451 | 24 | |
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| 1.3005 | 1.2335 | 25 | |
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| 1.2905 | 1.2258 | 26 | |
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| 1.2815 | 1.2179 | 27 | |
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| 1.2728 | 1.2123 | 28 | |
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| 1.2643 | 1.2029 | 29 | |
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| 1.2564 | 1.1980 | 30 | |
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| 1.2494 | 1.1877 | 31 | |
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| 1.2414 | 1.1806 | 32 | |
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| 1.2348 | 1.1788 | 33 | |
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| 1.2290 | 1.1699 | 34 | |
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| 1.2209 | 1.1654 | 35 | |
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| 1.2156 | 1.1575 | 36 | |
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| 1.2110 | 1.1537 | 37 | |
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| 1.2046 | 1.1499 | 38 | |
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| 1.1986 | 1.1436 | 39 | |
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| 1.1940 | 1.1408 | 40 | |
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| 1.1877 | 1.1356 | 41 | |
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| 1.1830 | 1.1314 | 42 | |
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| 1.1779 | 1.1278 | 43 | |
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| 1.1737 | 1.1211 | 44 | |
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| 1.1692 | 1.1192 | 45 | |
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| 1.1647 | 1.1163 | 46 | |
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| 1.1611 | 1.1107 | 47 | |
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| 1.1560 | 1.1066 | 48 | |
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| 1.1521 | 1.1060 | 49 | |
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| 1.1489 | 1.1002 | 50 | |
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| 1.1440 | 1.0960 | 51 | |
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| 1.1406 | 1.0931 | 52 | |
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| 1.1373 | 1.0897 | 53 | |
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| 1.1329 | 1.0855 | 54 | |
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| 1.1302 | 1.0842 | 55 | |
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| 1.1265 | 1.0818 | 56 | |
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| 1.1237 | 1.0784 | 57 | |
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| 1.1204 | 1.0737 | 58 | |
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| 1.1173 | 1.0714 | 59 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- TensorFlow 2.8.2 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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