---
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