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--- |
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license: mit |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: facebook/bart-large-cnn |
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datasets: |
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- samsum |
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model-index: |
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- name: bart-cnn-samsum-peft |
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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-cnn-samsum-peft |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on the samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5166 |
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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: 1e-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: 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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| 0.9416 | 1.0 | 37 | 0.7712 | |
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| 0.6612 | 2.0 | 74 | 0.6450 | |
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| 0.5657 | 3.0 | 111 | 0.5918 | |
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| 0.5758 | 4.0 | 148 | 0.5598 | |
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| 0.499 | 5.0 | 185 | 0.5426 | |
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| 0.4521 | 6.0 | 222 | 0.5314 | |
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| 0.4618 | 7.0 | 259 | 0.5244 | |
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| 0.4838 | 8.0 | 296 | 0.5202 | |
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| 0.4983 | 9.0 | 333 | 0.5175 | |
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| 0.4688 | 10.0 | 370 | 0.5166 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
