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--- |
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license: apache-2.0 |
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base_model: allenai/led-large-16384 |
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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: LED-Large-NSPCC |
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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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# LED-Large-NSPCC |
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This model is a fine-tuned version of [allenai/led-large-16384](https://huggingface.co/allenai/led-large-16384) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7268 |
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- Rouge1: 0.5254 |
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- Rouge2: 0.2338 |
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- Rougel: 0.3002 |
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- Rougelsum: 0.3002 |
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- Gen Len: 299.4787 |
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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: 0.0003 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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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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| 2.4641 | 0.9947 | 94 | 2.1400 | 0.4307 | 0.1505 | 0.226 | 0.226 | 353.6277 | |
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| 1.8933 | 2.0 | 189 | 1.8349 | 0.4851 | 0.1895 | 0.2638 | 0.2641 | 275.5745 | |
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| 1.3745 | 2.9947 | 283 | 1.6659 | 0.516 | 0.2274 | 0.2882 | 0.2887 | 299.5426 | |
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| 0.8719 | 3.9788 | 376 | 1.7268 | 0.5254 | 0.2338 | 0.3002 | 0.3002 | 299.4787 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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