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MRC_ER_infoXLM-base_syl_ViWikiFC
tringuyen-uit/MRC_ER_infoXLM-base_syl_ViWikiFC
MRC_ER_infoXLM-base_syl_ViWikiFC is a machine learning model from tringuyen-uit. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- xlm-roberta
- Access
- Public
- Created
- Sep 4, 2024
- Updated
- Sep 4, 2024
- SHA
- 1608d98d
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
MRC_ER_infoXLM-base_syl_ViWikiFC
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: 1.9753
- Exact Match: 0.8091
- F1: 0.8339
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|
| 0.6122 | 1.0 | 2093 | 1.8535 | 0.7828 | 0.8177 |
| 0.5079 | 2.0 | 4186 | 1.7922 | 0.7990 | 0.8278 |
| 0.4449 | 3.0 | 6279 | 1.7382 | 0.7990 | 0.8258 |
| 0.364 | 4.0 | 8372 | 1.9757 | 0.8081 | 0.8346 |
| 0.3095 | 5.0 | 10465 | 1.9753 | 0.8091 | 0.8339 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Type
- xlm-roberta
- Created
- Sep 4, 2024
- Updated
- Sep 4, 2024