<!-- 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. -->
fine-tuned-DatasetQAS-Squad-ID-with-xlm-roberta-large-with-ITTL-without-freeze-LR-1e-05
This model is a fine-tuned version of xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3952
- Exact Match: 53.5849
- F1: 70.1108
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 128
- 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 | Exact Match | F1 |
|---|---|---|---|---|---|
| 1.5149 | 0.5 | 463 | 1.4114 | 49.7520 | 66.7072 |
| 1.3892 | 1.0 | 926 | 1.3334 | 51.5760 | 68.8310 |
| 1.269 | 1.5 | 1389 | 1.2838 | 52.9041 | 69.2814 |
| 1.1755 | 2.0 | 1852 | 1.2739 | 52.9209 | 69.1687 |
| 1.0808 | 2.5 | 2315 | 1.2794 | 53.4252 | 70.0163 |
| 1.1013 | 3.0 | 2778 | 1.2553 | 53.6438 | 70.3143 |
| 0.9592 | 3.5 | 3241 | 1.3231 | 53.9800 | 69.7364 |
| 0.9566 | 4.0 | 3704 | 1.3054 | 54.2153 | 70.0216 |
| 0.8603 | 4.49 | 4167 | 1.3952 | 53.5849 | 70.1108 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.2.0
- Tokenizers 0.13.2
