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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: gpt2-finetuned-stationary-update |
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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-finetuned-stationary-update |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6156 |
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- Accuracy: 0.7067 |
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- F1: 0.6780 |
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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: 64 |
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- eval_batch_size: 64 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.6691 | 1.0 | 38 | 0.6355 | 0.6667 | 0.5333 | |
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| 0.6204 | 2.0 | 76 | 0.6287 | 0.69 | 0.6342 | |
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| 0.5971 | 3.0 | 114 | 0.6185 | 0.6867 | 0.6287 | |
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| 0.5875 | 4.0 | 152 | 0.6268 | 0.68 | 0.5831 | |
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| 0.5494 | 5.0 | 190 | 0.6000 | 0.6967 | 0.6420 | |
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| 0.5272 | 6.0 | 228 | 0.6156 | 0.69 | 0.6180 | |
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| 0.5026 | 7.0 | 266 | 0.6364 | 0.6833 | 0.6201 | |
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| 0.4789 | 8.0 | 304 | 0.6179 | 0.71 | 0.6703 | |
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| 0.4742 | 9.0 | 342 | 0.6198 | 0.7033 | 0.6693 | |
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| 0.4528 | 10.0 | 380 | 0.6156 | 0.7067 | 0.6780 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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