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--- |
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license: mit |
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base_model: philschmid/bart-large-cnn-samsum |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bart-original |
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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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# bart-original |
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This model is a fine-tuned version of [philschmid/bart-large-cnn-samsum](https://huggingface.co/philschmid/bart-large-cnn-samsum) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7637 |
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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: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.7047 | 0.99 | 16 | 1.2455 | |
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| 1.1189 | 1.98 | 32 | 0.8783 | |
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| 0.9025 | 2.97 | 48 | 0.7032 | |
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| 0.661 | 3.95 | 64 | 0.6342 | |
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| 0.7341 | 4.94 | 80 | 0.6271 | |
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| 0.5526 | 5.99 | 97 | 0.6232 | |
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| 0.4139 | 6.98 | 113 | 0.6405 | |
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| 0.518 | 7.97 | 129 | 0.6887 | |
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| 0.3311 | 8.96 | 145 | 0.7313 | |
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| 0.196 | 9.88 | 160 | 0.7637 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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