metadata
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: []
ft-roberta-large-on-bionlp2004-lora
This model is a fine-tuned version of 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