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--- |
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license: apache-2.0 |
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base_model: aparajitha/bart-base-sci |
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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-sci-ms-fl |
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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-sci-ms-fl |
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This model is a fine-tuned version of [aparajitha/bart-base-sci](https://huggingface.co/aparajitha/bart-base-sci) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3036 |
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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: 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: 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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| No log | 1.0 | 274 | 2.5338 | |
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| 3.0007 | 2.0 | 548 | 2.4135 | |
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| 3.0007 | 3.0 | 822 | 2.3471 | |
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| 2.4247 | 4.0 | 1096 | 2.3202 | |
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| 2.4247 | 5.0 | 1370 | 2.3081 | |
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| 2.2917 | 6.0 | 1644 | 2.3036 | |
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### Framework versions |
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- Transformers 4.43.4 |
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- Pytorch 1.13.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.19.1 |
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