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--- |
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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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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2400 |
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- Accuracy: 0.8996 |
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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: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 28 | 1.3861 | 0.2679 | |
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| No log | 2.0 | 56 | 1.3857 | 0.2723 | |
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| No log | 3.0 | 84 | 1.3847 | 0.3304 | |
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| No log | 4.0 | 112 | 1.3618 | 0.5759 | |
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| No log | 5.0 | 140 | 0.8967 | 0.6763 | |
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| No log | 6.0 | 168 | 0.5932 | 0.7969 | |
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| No log | 7.0 | 196 | 0.4044 | 0.8638 | |
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| No log | 8.0 | 224 | 0.3016 | 0.9129 | |
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| No log | 9.0 | 252 | 0.3303 | 0.8772 | |
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| No log | 10.0 | 280 | 0.2400 | 0.8996 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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