---
base_model: roberta-large
library_name: peft
license: mit
tags:
- generated_from_trainer
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
should probably proofread and complete it, then remove this comment. -->

# ft-roberta-large-on-bionlp2004-lora

This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the cdcvd/ejpfepj dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0886

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 13   | 0.2459          |
| No log        | 2.0   | 26   | 0.1373          |
| No log        | 3.0   | 39   | 0.1105          |
| No log        | 4.0   | 52   | 0.1414          |
| No log        | 5.0   | 65   | 0.1707          |
| No log        | 6.0   | 78   | 0.1172          |
| No log        | 7.0   | 91   | 0.3309          |
| No log        | 8.0   | 104  | 0.5585          |
| No log        | 9.0   | 117  | 0.5192          |
| No log        | 10.0  | 130  | 0.5445          |
| No log        | 11.0  | 143  | 0.6039          |
| No log        | 12.0  | 156  | 0.5424          |
| No log        | 13.0  | 169  | 0.5210          |
| No log        | 14.0  | 182  | 0.5190          |
| No log        | 15.0  | 195  | 0.5433          |
| No log        | 16.0  | 208  | 0.5199          |
| No log        | 17.0  | 221  | 0.5309          |
| No log        | 18.0  | 234  | 0.5507          |
| No log        | 19.0  | 247  | 0.5427          |
| No log        | 20.0  | 260  | 0.5223          |
| No log        | 21.0  | 273  | 0.5194          |
| No log        | 22.0  | 286  | 0.5216          |
| No log        | 23.0  | 299  | 0.5248          |
| No log        | 24.0  | 312  | 0.5192          |
| No log        | 25.0  | 325  | 0.5409          |
| No log        | 26.0  | 338  | 0.5223          |
| No log        | 27.0  | 351  | 0.5719          |
| No log        | 28.0  | 364  | 0.5307          |
| No log        | 29.0  | 377  | 0.5576          |
| No log        | 30.0  | 390  | 0.5272          |
| No log        | 31.0  | 403  | 0.5193          |
| No log        | 32.0  | 416  | 0.5489          |
| No log        | 33.0  | 429  | 0.5215          |
| No log        | 34.0  | 442  | 0.5359          |
| No log        | 35.0  | 455  | 0.5728          |
| No log        | 36.0  | 468  | 0.5560          |
| No log        | 37.0  | 481  | 0.5765          |
| No log        | 38.0  | 494  | 0.5562          |
| 0.4913        | 39.0  | 507  | 0.6608          |
| 0.4913        | 40.0  | 520  | 0.7299          |
| 0.4913        | 41.0  | 533  | 0.5850          |
| 0.4913        | 42.0  | 546  | 0.7992          |
| 0.4913        | 43.0  | 559  | 0.7670          |
| 0.4913        | 44.0  | 572  | 0.9654          |
| 0.4913        | 45.0  | 585  | 1.0347          |
| 0.4913        | 46.0  | 598  | 0.9568          |
| 0.4913        | 47.0  | 611  | 1.0205          |
| 0.4913        | 48.0  | 624  | 1.0679          |
| 0.4913        | 49.0  | 637  | 1.1054          |
| 0.4913        | 50.0  | 650  | 1.0886          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.3.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.2