xlm-roberta-base-finetuned-panx-hi-ur
This model is a fine-tuned version of DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2936
- F1: 0.8968
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 |
---|---|---|---|---|
No log | 1.0 | 228 | 0.2395 | 0.8717 |
No log | 2.0 | 456 | 0.3296 | 0.8747 |
No log | 3.0 | 684 | 0.2789 | 0.8866 |
No log | 4.0 | 912 | 0.3123 | 0.8977 |
No log | 5.0 | 1140 | 0.2936 | 0.8968 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Downloads last month
- 0