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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: gpt2-gpt2-mc-weight0.25-epoch15-new |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# gpt2-gpt2-mc-weight0.25-epoch15-new |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.7276 |
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- Cls loss: 3.0579 |
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- Lm loss: 3.9626 |
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- Cls Accuracy: 0.6110 |
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- Cls F1: 0.6054 |
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- Cls Precision: 0.6054 |
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- Cls Recall: 0.6110 |
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- Perplexity: 52.59 |
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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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- learning_rate: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cls loss | Lm loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Perplexity | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|:------------:|:------:|:-------------:|:----------:|:----------:| |
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| 4.674 | 1.0 | 3470 | 4.4372 | 1.5961 | 4.0380 | 0.5487 | 0.5279 | 0.5643 | 0.5487 | 56.71 | |
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| 4.3809 | 2.0 | 6940 | 4.3629 | 1.4483 | 4.0006 | 0.6023 | 0.5950 | 0.6174 | 0.6023 | 54.63 | |
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| 4.2522 | 3.0 | 10410 | 4.3721 | 1.5476 | 3.9849 | 0.6012 | 0.5981 | 0.6186 | 0.6012 | 53.78 | |
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| 4.1478 | 4.0 | 13880 | 4.3892 | 1.6429 | 3.9782 | 0.6081 | 0.6019 | 0.6128 | 0.6081 | 53.42 | |
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| 4.0491 | 5.0 | 17350 | 4.4182 | 1.8093 | 3.9656 | 0.6156 | 0.6091 | 0.6163 | 0.6156 | 52.75 | |
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| 3.9624 | 6.0 | 20820 | 4.4757 | 2.0348 | 3.9666 | 0.6121 | 0.6048 | 0.6189 | 0.6121 | 52.81 | |
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| 3.8954 | 7.0 | 24290 | 4.4969 | 2.1327 | 3.9634 | 0.6092 | 0.6028 | 0.6087 | 0.6092 | 52.64 | |
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| 3.846 | 8.0 | 27760 | 4.5632 | 2.4063 | 3.9613 | 0.6017 | 0.5972 | 0.6014 | 0.6017 | 52.52 | |
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| 3.8036 | 9.0 | 31230 | 4.6068 | 2.5888 | 3.9592 | 0.6052 | 0.5988 | 0.6026 | 0.6052 | 52.41 | |
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| 3.7724 | 10.0 | 34700 | 4.6175 | 2.6197 | 3.9621 | 0.6052 | 0.6006 | 0.6009 | 0.6052 | 52.57 | |
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| 3.7484 | 11.0 | 38170 | 4.6745 | 2.8470 | 3.9622 | 0.6046 | 0.5996 | 0.6034 | 0.6046 | 52.57 | |
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| 3.7291 | 12.0 | 41640 | 4.6854 | 2.8950 | 3.9611 | 0.6110 | 0.6056 | 0.6049 | 0.6110 | 52.52 | |
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| 3.7148 | 13.0 | 45110 | 4.7103 | 2.9919 | 3.9618 | 0.6063 | 0.6002 | 0.6029 | 0.6063 | 52.55 | |
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| 3.703 | 14.0 | 48580 | 4.7226 | 3.0417 | 3.9616 | 0.6081 | 0.6027 | 0.6021 | 0.6081 | 52.54 | |
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| 3.6968 | 15.0 | 52050 | 4.7276 | 3.0579 | 3.9626 | 0.6110 | 0.6054 | 0.6054 | 0.6110 | 52.59 | |
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### Framework versions |
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- Transformers 4.21.2 |
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- Pytorch 1.12.1 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
