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---
base_model: google/pegasus-large
tags:
- generated_from_trainer
model-index:
- name: pegasus-large-mimiciii-v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pegasus-large-mimiciii-v2
This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7727
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5001 | 0.32 | 500 | 3.3447 |
| 3.1713 | 0.64 | 1000 | 3.0768 |
| 3.1364 | 0.96 | 1500 | 2.9574 |
| 3.1029 | 1.28 | 2000 | 2.8920 |
| 2.775 | 1.6 | 2500 | 2.8453 |
| 2.8836 | 1.92 | 3000 | 2.8115 |
| 2.9035 | 2.24 | 3500 | 2.7914 |
| 2.836 | 2.56 | 4000 | 2.7794 |
| 2.777 | 2.88 | 4500 | 2.7727 |
### Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1
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