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--- |
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license: other |
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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: outputs |
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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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# outputs |
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This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6286 |
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- Accuracy: 0.7095 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 1 |
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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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| 0.7716 | 0.05 | 20 | 1.1077 | 0.2355 | |
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| 0.7058 | 0.09 | 40 | 0.8183 | 0.5443 | |
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| 0.6877 | 0.14 | 60 | 0.8182 | 0.5443 | |
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| 0.6154 | 0.18 | 80 | 0.7467 | 0.6070 | |
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| 0.6188 | 0.23 | 100 | 0.7712 | 0.5810 | |
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| 0.549 | 0.28 | 120 | 0.9027 | 0.4847 | |
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| 0.5617 | 0.32 | 140 | 0.7137 | 0.6300 | |
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| 0.5573 | 0.37 | 160 | 0.7936 | 0.5642 | |
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| 0.5382 | 0.41 | 180 | 0.7245 | 0.6346 | |
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| 0.5121 | 0.46 | 200 | 0.7282 | 0.6422 | |
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| 0.5577 | 0.51 | 220 | 0.7301 | 0.6376 | |
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| 0.4909 | 0.55 | 240 | 0.6293 | 0.6957 | |
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| 0.5057 | 0.6 | 260 | 0.6421 | 0.6896 | |
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| 0.4774 | 0.64 | 280 | 0.6944 | 0.6697 | |
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| 0.4786 | 0.69 | 300 | 0.7043 | 0.6682 | |
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| 0.4403 | 0.74 | 320 | 0.6020 | 0.7217 | |
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| 0.5914 | 0.78 | 340 | 0.5944 | 0.7217 | |
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| 0.459 | 0.83 | 360 | 0.6188 | 0.7171 | |
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| 0.4654 | 0.87 | 380 | 0.6424 | 0.7110 | |
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| 0.3851 | 0.92 | 400 | 0.6387 | 0.7095 | |
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| 0.4811 | 0.97 | 420 | 0.6286 | 0.7095 | |
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### Framework versions |
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- Transformers 4.29.0.dev0 |
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- Pytorch 1.13.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.2 |
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