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--- |
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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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model-index: |
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- name: my_awesome_billsum_model |
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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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# my_awesome_billsum_model |
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This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 1.7927 |
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- eval_rouge1: 0.1895 |
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- eval_rouge2: 0.0969 |
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- eval_rougeL: 0.1641 |
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- eval_rougeLsum: 0.1692 |
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- eval_gen_len: 20.0 |
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- eval_runtime: 47.5253 |
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- eval_samples_per_second: 5.218 |
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- eval_steps_per_second: 1.052 |
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- epoch: 2.0 |
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- step: 396 |
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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: 5 |
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- eval_batch_size: 5 |
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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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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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