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--- |
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license: apache-2.0 |
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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_oscarth_0080 |
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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_oscarth_0080 |
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.8143 |
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- Validation Loss: 2.7051 |
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- Epoch: 79 |
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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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| 5.6021 | 4.5759 | 0 | |
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| 4.4536 | 4.1235 | 1 | |
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| 4.1386 | 3.9013 | 2 | |
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| 3.9546 | 3.7563 | 3 | |
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| 3.8255 | 3.6477 | 4 | |
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| 3.7271 | 3.5617 | 5 | |
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| 3.6488 | 3.4936 | 6 | |
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| 3.5844 | 3.4379 | 7 | |
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| 3.5301 | 3.3891 | 8 | |
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| 3.4833 | 3.3448 | 9 | |
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| 3.4427 | 3.3098 | 10 | |
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| 3.4068 | 3.2750 | 11 | |
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| 3.3749 | 3.2425 | 12 | |
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| 3.3462 | 3.2211 | 13 | |
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| 3.3202 | 3.1941 | 14 | |
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| 3.2964 | 3.1720 | 15 | |
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| 3.2749 | 3.1512 | 16 | |
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| 3.2548 | 3.1322 | 17 | |
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| 3.2363 | 3.1141 | 18 | |
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| 3.2188 | 3.0982 | 19 | |
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| 3.2025 | 3.0818 | 20 | |
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| 3.1871 | 3.0678 | 21 | |
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| 3.1724 | 3.0533 | 22 | |
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| 3.1583 | 3.0376 | 23 | |
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| 3.1446 | 3.0256 | 24 | |
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| 3.1318 | 3.0122 | 25 | |
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| 3.1195 | 3.0016 | 26 | |
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| 3.1079 | 2.9901 | 27 | |
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| 3.0968 | 2.9826 | 28 | |
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| 3.0863 | 2.9711 | 29 | |
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| 3.0761 | 2.9593 | 30 | |
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| 3.0665 | 2.9514 | 31 | |
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| 3.0572 | 2.9432 | 32 | |
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| 3.0483 | 2.9347 | 33 | |
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| 3.0396 | 2.9250 | 34 | |
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| 3.0313 | 2.9160 | 35 | |
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| 3.0232 | 2.9095 | 36 | |
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| 3.0153 | 2.9028 | 37 | |
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| 3.0078 | 2.8949 | 38 | |
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| 3.0004 | 2.8864 | 39 | |
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| 2.9932 | 2.8799 | 40 | |
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| 2.9864 | 2.8722 | 41 | |
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| 2.9797 | 2.8657 | 42 | |
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| 2.9731 | 2.8605 | 43 | |
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| 2.9668 | 2.8544 | 44 | |
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| 2.9606 | 2.8481 | 45 | |
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| 2.9545 | 2.8421 | 46 | |
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| 2.9487 | 2.8368 | 47 | |
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| 2.9429 | 2.8288 | 48 | |
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| 2.9374 | 2.8257 | 49 | |
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| 2.9319 | 2.8204 | 50 | |
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| 2.9266 | 2.8152 | 51 | |
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| 2.9215 | 2.8093 | 52 | |
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| 2.9164 | 2.8054 | 53 | |
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| 2.9114 | 2.7998 | 54 | |
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| 2.9066 | 2.7980 | 55 | |
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| 2.9019 | 2.7913 | 56 | |
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| 2.8972 | 2.7865 | 57 | |
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| 2.8927 | 2.7816 | 58 | |
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| 2.8883 | 2.7784 | 59 | |
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| 2.8840 | 2.7741 | 60 | |
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| 2.8798 | 2.7696 | 61 | |
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| 2.8755 | 2.7650 | 62 | |
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| 2.8714 | 2.7608 | 63 | |
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| 2.8674 | 2.7571 | 64 | |
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| 2.8634 | 2.7532 | 65 | |
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| 2.8593 | 2.7482 | 66 | |
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| 2.8555 | 2.7466 | 67 | |
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| 2.8519 | 2.7417 | 68 | |
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| 2.8481 | 2.7378 | 69 | |
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| 2.8445 | 2.7345 | 70 | |
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| 2.8410 | 2.7309 | 71 | |
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| 2.8373 | 2.7273 | 72 | |
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| 2.8339 | 2.7233 | 73 | |
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| 2.8305 | 2.7225 | 74 | |
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| 2.8272 | 2.7169 | 75 | |
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| 2.8238 | 2.7133 | 76 | |
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| 2.8206 | 2.7117 | 77 | |
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| 2.8174 | 2.7090 | 78 | |
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| 2.8143 | 2.7051 | 79 | |
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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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