---
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: 1.0401

## 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   | 282   | 0.2349          |
| 0.3151        | 2.0   | 564   | 0.2351          |
| 0.3151        | 3.0   | 846   | 1.0534          |
| 0.7392        | 4.0   | 1128  | 1.0375          |
| 0.7392        | 5.0   | 1410  | 1.0487          |
| 1.0405        | 6.0   | 1692  | 1.0723          |
| 1.0405        | 7.0   | 1974  | 1.0318          |
| 1.0417        | 8.0   | 2256  | 1.0493          |
| 1.0345        | 9.0   | 2538  | 1.0539          |
| 1.0345        | 10.0  | 2820  | 1.0324          |
| 1.0339        | 11.0  | 3102  | 1.0663          |
| 1.0339        | 12.0  | 3384  | 1.0691          |
| 1.0303        | 13.0  | 3666  | 1.0563          |
| 1.0303        | 14.0  | 3948  | 1.0330          |
| 1.0369        | 15.0  | 4230  | 1.0519          |
| 1.0312        | 16.0  | 4512  | 1.0440          |
| 1.0312        | 17.0  | 4794  | 1.0440          |
| 1.0321        | 18.0  | 5076  | 1.0376          |
| 1.0321        | 19.0  | 5358  | 1.0358          |
| 1.0246        | 20.0  | 5640  | 1.0331          |
| 1.0246        | 21.0  | 5922  | 1.0538          |
| 1.0343        | 22.0  | 6204  | 1.0440          |
| 1.0343        | 23.0  | 6486  | 1.0444          |
| 1.0273        | 24.0  | 6768  | 1.0497          |
| 1.0277        | 25.0  | 7050  | 1.0471          |
| 1.0277        | 26.0  | 7332  | 1.0393          |
| 1.0216        | 27.0  | 7614  | 1.0835          |
| 1.0216        | 28.0  | 7896  | 1.0508          |
| 1.0312        | 29.0  | 8178  | 1.0246          |
| 1.0312        | 30.0  | 8460  | 1.0448          |
| 1.0297        | 31.0  | 8742  | 1.0344          |
| 1.0288        | 32.0  | 9024  | 1.0446          |
| 1.0288        | 33.0  | 9306  | 1.0415          |
| 1.0252        | 34.0  | 9588  | 1.0460          |
| 1.0252        | 35.0  | 9870  | 1.0295          |
| 1.0274        | 36.0  | 10152 | 1.0508          |
| 1.0274        | 37.0  | 10434 | 1.0470          |
| 1.0263        | 38.0  | 10716 | 1.0345          |
| 1.0263        | 39.0  | 10998 | 1.0322          |
| 1.0275        | 40.0  | 11280 | 1.0398          |
| 1.0263        | 41.0  | 11562 | 1.0496          |
| 1.0263        | 42.0  | 11844 | 1.0449          |
| 1.0248        | 43.0  | 12126 | 1.0404          |
| 1.0248        | 44.0  | 12408 | 1.0387          |
| 1.025         | 45.0  | 12690 | 1.0455          |
| 1.025         | 46.0  | 12972 | 1.0415          |
| 1.0222        | 47.0  | 13254 | 1.0497          |
| 1.0233        | 48.0  | 13536 | 1.0362          |
| 1.0233        | 49.0  | 13818 | 1.0392          |
| 1.0273        | 50.0  | 14100 | 1.0401          |


### Framework versions

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