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--- |
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base_model: google/pegasus-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: pegasus-large-mimiciii-v2 |
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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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# pegasus-large-mimiciii-v2 |
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This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7727 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.5001 | 0.32 | 500 | 3.3447 | |
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| 3.1713 | 0.64 | 1000 | 3.0768 | |
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| 3.1364 | 0.96 | 1500 | 2.9574 | |
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| 3.1029 | 1.28 | 2000 | 2.8920 | |
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| 2.775 | 1.6 | 2500 | 2.8453 | |
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| 2.8836 | 1.92 | 3000 | 2.8115 | |
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| 2.9035 | 2.24 | 3500 | 2.7914 | |
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| 2.836 | 2.56 | 4000 | 2.7794 | |
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| 2.777 | 2.88 | 4500 | 2.7727 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.7 |
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- Tokenizers 0.14.1 |
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