---
license: mit
library_name: peft
tags:
- generated_from_trainer
datasets:
- bionlp2004
base_model: roberta-large
model-index:
- name: ft-roberta-large-on-bionlp2004-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ft-roberta-large-on-bionlp2004-lora

This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the tner/bionlp2004 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5181

## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 13   | 0.6539          |
| No log        | 2.0   | 26   | 0.5181          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0