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--- |
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license: mit |
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base_model: facebook/bart-large-xsum |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: LLM_Teached_Bart |
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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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# LLM_Teached_Bart |
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This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8314 |
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- Rouge1: 0.4852 |
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- Rouge2: 0.2152 |
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- Rougel: 0.3758 |
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- Rougelsum: 0.3758 |
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- Gen Len: 44.2945 |
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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: 16 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 1.7164 | 1.0 | 625 | 1.7203 | 0.4723 | 0.209 | 0.3674 | 0.3668 | 44.1491 | |
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| 1.3424 | 2.0 | 1250 | 1.6998 | 0.484 | 0.2166 | 0.37 | 0.3695 | 45.3727 | |
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| 1.1171 | 3.0 | 1875 | 1.7546 | 0.4824 | 0.2144 | 0.3728 | 0.3728 | 43.7636 | |
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| 0.8193 | 4.0 | 2500 | 1.8314 | 0.4852 | 0.2152 | 0.3758 | 0.3758 | 44.2945 | |
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### Framework versions |
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- Transformers 4.36.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.0 |
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