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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: allenai/led-base-16384 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- scientific_lay_summarisation |
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model-index: |
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- name: led_summarizer |
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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_summarizer |
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This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the scientific_lay_summarisation dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6657 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 1 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 3.2606 | 0.1067 | 10 | 3.0145 | |
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| 3.1127 | 0.2133 | 20 | 2.8998 | |
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| 2.9749 | 0.32 | 30 | 2.8432 | |
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| 2.9502 | 0.4267 | 40 | 2.7848 | |
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| 2.8664 | 0.5333 | 50 | 2.7457 | |
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| 2.8505 | 0.64 | 60 | 2.7244 | |
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| 2.7979 | 0.7467 | 70 | 2.6993 | |
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| 2.778 | 0.8533 | 80 | 2.6769 | |
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| 2.7792 | 0.96 | 90 | 2.6657 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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