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--- |
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license: apache-2.0 |
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base_model: facebook/bart-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bart-finetuned-lyrlen-256-tokens |
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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-finetuned-lyrlen-256-tokens |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6246 |
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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: 8 |
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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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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.9847 | 0.17 | 500 | 2.7417 | |
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| 2.7603 | 0.33 | 1000 | 2.6936 | |
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| 2.6777 | 0.5 | 1500 | 2.7032 | |
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| 2.6679 | 0.67 | 2000 | 2.6790 | |
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| 2.631 | 0.83 | 2500 | 2.6584 | |
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| 2.612 | 1.0 | 3000 | 2.6528 | |
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| 2.5602 | 1.17 | 3500 | 2.7752 | |
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| 2.5321 | 1.33 | 4000 | 2.6442 | |
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| 2.523 | 1.5 | 4500 | 2.6168 | |
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| 2.5031 | 1.67 | 5000 | 2.6356 | |
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| 2.4454 | 1.83 | 5500 | 2.6987 | |
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| 2.5141 | 2.0 | 6000 | 2.6277 | |
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| 2.434 | 2.17 | 6500 | 2.6612 | |
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| 2.4381 | 2.33 | 7000 | 2.6339 | |
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| 2.4182 | 2.5 | 7500 | 2.6291 | |
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| 2.3564 | 2.67 | 8000 | 2.6309 | |
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| 2.4002 | 2.83 | 8500 | 2.5957 | |
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| 2.3692 | 3.0 | 9000 | 2.6150 | |
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| 2.4242 | 3.17 | 9500 | 2.5908 | |
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| 2.3854 | 3.33 | 10000 | 2.6053 | |
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| 2.3493 | 3.5 | 10500 | 2.6875 | |
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| 2.3231 | 3.67 | 11000 | 2.6197 | |
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| 2.3609 | 3.83 | 11500 | 2.6016 | |
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| 2.3651 | 4.0 | 12000 | 2.6246 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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