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--- |
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license: apache-2.0 |
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base_model: facebook/bart-base |
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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: exercise_model |
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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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# exercise_model |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7260 |
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- Accuracy: 0.45 |
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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: 18 |
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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 | 5 | 5.9810 | 0.0 | |
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| No log | 2.0 | 10 | 4.8367 | 0.1 | |
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| No log | 3.0 | 15 | 4.2524 | 0.2 | |
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| No log | 4.0 | 20 | 3.7825 | 0.3 | |
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| No log | 5.0 | 25 | 3.4538 | 0.5 | |
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| No log | 6.0 | 30 | 3.1687 | 0.5 | |
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| No log | 7.0 | 35 | 2.8498 | 0.5 | |
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| No log | 8.0 | 40 | 2.4818 | 0.5 | |
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| No log | 9.0 | 45 | 2.2022 | 0.5 | |
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| No log | 10.0 | 50 | 2.0670 | 0.45 | |
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| No log | 11.0 | 55 | 1.9735 | 0.45 | |
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| No log | 12.0 | 60 | 1.9018 | 0.45 | |
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| No log | 13.0 | 65 | 1.8420 | 0.4 | |
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| No log | 14.0 | 70 | 1.7969 | 0.4 | |
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| No log | 15.0 | 75 | 1.7639 | 0.45 | |
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| No log | 16.0 | 80 | 1.7433 | 0.45 | |
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| No log | 17.0 | 85 | 1.7305 | 0.45 | |
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| No log | 18.0 | 90 | 1.7260 | 0.45 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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