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COPA_E_CARE_XLM_roberta_base_finetuned
Ariffiq99/COPA_E_CARE_XLM_roberta_base_finetuned
COPA_E_CARE_XLM_roberta_base_finetuned is a multiple choice model from Ariffiq99. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jun 23, 2024
- Updated
- Jun 23, 2024
- SHA
- 175ea780
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. -->
COPA_E_CARE_XLM_roberta_base_finetuned
This model is a fine-tuned version of Ariffiq99/e_care_xlm_roberta_base_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7353
- F1: 0.67
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 250 | 0.9393 | 0.668 |
| 0.2405 | 2.0 | 500 | 1.1072 | 0.684 |
| 0.2405 | 3.0 | 750 | 1.1488 | 0.648 |
| 0.3938 | 4.0 | 1000 | 0.9665 | 0.652 |
| 0.3938 | 5.0 | 1250 | 1.2431 | 0.654 |
| 0.4987 | 6.0 | 1500 | 1.2893 | 0.674 |
| 0.4987 | 7.0 | 1750 | 1.5097 | 0.68 |
| 0.3532 | 8.0 | 2000 | 1.6731 | 0.664 |
| 0.3532 | 9.0 | 2250 | 1.7344 | 0.664 |
| 0.3011 | 10.0 | 2500 | 1.7353 | 0.67 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- multiple choice
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jun 23, 2024
- Updated
- Jun 23, 2024