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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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model-index: |
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- name: Bart-base-v3 |
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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-base-v3 |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0391 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.0953 | 0.32 | 250 | 0.0443 | |
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| 0.051 | 0.64 | 500 | 0.0424 | |
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| 0.0492 | 0.96 | 750 | 0.0410 | |
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| 0.0441 | 1.28 | 1000 | 0.0402 | |
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| 0.0429 | 1.61 | 1250 | 0.0399 | |
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| 0.043 | 1.93 | 1500 | 0.0394 | |
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| 0.0395 | 2.25 | 1750 | 0.0397 | |
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| 0.0386 | 2.57 | 2000 | 0.0392 | |
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| 0.0381 | 2.89 | 2250 | 0.0389 | |
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| 0.0356 | 3.21 | 2500 | 0.0394 | |
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| 0.0348 | 3.53 | 2750 | 0.0392 | |
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| 0.0343 | 3.85 | 3000 | 0.0390 | |
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| 0.0332 | 4.17 | 3250 | 0.0391 | |
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| 0.0313 | 4.49 | 3500 | 0.0393 | |
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| 0.032 | 4.82 | 3750 | 0.0390 | |
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| 0.0307 | 5.14 | 4000 | 0.0393 | |
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| 0.0297 | 5.46 | 4250 | 0.0394 | |
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| 0.0298 | 5.78 | 4500 | 0.0391 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.1 |
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- Tokenizers 0.15.2 |
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