metadata
license: mit
base_model: DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-hi-5-epochs
results: []
xlm-roberta-base-finetuned-panx-hi-5-epochs
This model is a fine-tuned version of DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2936
- F1: 0.8848
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: 24
- eval_batch_size: 24
- 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 |
|---|---|---|---|---|
| 0.168 | 1.0 | 168 | 0.3044 | 0.8586 |
| 0.1187 | 2.0 | 336 | 0.2836 | 0.8640 |
| 0.0848 | 3.0 | 504 | 0.2728 | 0.8800 |
| 0.0528 | 4.0 | 672 | 0.2969 | 0.8959 |
| 0.0308 | 5.0 | 840 | 0.2936 | 0.8848 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2