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xlm-roberta-base-finetuned-panx-ta
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: 0.3723
- F1: 0.8360
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: 10
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.4915 | 1.0 | 286 | 0.2889 | 0.7382 |
0.245 | 2.0 | 572 | 0.2358 | 0.7602 |
0.1719 | 3.0 | 858 | 0.2411 | 0.8084 |
0.128 | 4.0 | 1144 | 0.2302 | 0.8119 |
0.0953 | 5.0 | 1430 | 0.2631 | 0.7912 |
0.0678 | 6.0 | 1716 | 0.2632 | 0.8142 |
0.0459 | 7.0 | 2002 | 0.3185 | 0.8209 |
0.032 | 8.0 | 2288 | 0.3598 | 0.8277 |
0.0253 | 9.0 | 2574 | 0.3561 | 0.8347 |
0.0143 | 10.0 | 2860 | 0.3723 | 0.8360 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3