xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5194
- F1: 0.6203
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.1453 | 1.0 | 70 | 0.8324 | 0.3221 |
| 0.711 | 2.0 | 140 | 0.5905 | 0.5566 |
| 0.5599 | 3.0 | 210 | 0.5194 | 0.6203 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Tokenizers 0.19.1
- Downloads last month
- 135
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for soumilj/xlm-roberta-base-finetuned-panx-it
Base model
FacebookAI/xlm-roberta-base