metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
datasets:
- pharmaconer
model-index:
- name: xlm-roberta-base-pharmaconer
results: []
xlm-roberta-base-pharmaconer
This model is a fine-tuned version of xlm-roberta-base on the pharmaconer dataset. It achieves the following results on the evaluation set:
- Loss: 0.0243
- F1 Score: 1.0
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Score |
|---|---|---|---|---|
| 0.0458 | 1.0 | 1017 | 0.0344 | 1.0 |
| 0.0225 | 2.0 | 2034 | 0.0254 | 1.0 |
| 0.0114 | 3.0 | 3051 | 0.0203 | 1.0 |
| 0.0065 | 4.0 | 4068 | 0.0216 | 1.0 |
| 0.0035 | 5.0 | 5085 | 0.0243 | 1.0 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3