metadata
base_model: microsoft/infoxlm-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: MRC_ER_infoXLM-base_syl_DSC
results: []
MRC_ER_infoXLM-base_syl_DSC
This model is a fine-tuned version of microsoft/infoxlm-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8322
- Exact Match: 0.671
- F1: 0.8432
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Exact Match | F1 |
|---|---|---|---|---|---|
| 0.867 | 1.0 | 6364 | 0.7899 | 0.593 | 0.7980 |
| 0.7092 | 2.0 | 12728 | 0.7218 | 0.641 | 0.8262 |
| 0.6151 | 3.0 | 19092 | 0.6985 | 0.623 | 0.8371 |
| 0.4986 | 4.0 | 25456 | 0.7597 | 0.657 | 0.8500 |
| 0.416 | 5.0 | 31820 | 0.8322 | 0.671 | 0.8432 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1