<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 0.6045
- F1: 0.5463
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: 192
- eval_batch_size: 192
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 7 | 1.3798 | 0.0022 |
| No log | 2.0 | 14 | 1.0295 | 0.2087 |
| No log | 3.0 | 21 | 0.8452 | 0.3955 |
| No log | 4.0 | 28 | 0.7139 | 0.5016 |
| No log | 5.0 | 35 | 0.6363 | 0.5578 |
| No log | 6.0 | 42 | 0.6045 | 0.5463 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
