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emotion-model2_1
Semhal2024/emotion-model2_1
emotion-model2_1 is a machine learning model from Semhal2024. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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.json8.9 MB · 57%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jun 9, 2025
- Updated
- Jun 9, 2025
- SHA
- 23c7b1a8
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. -->
emotion-model2_1
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9816
- Accuracy: 0.6410
- F1: 0.6345
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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.3854 | 1.0 | 59 | 1.3531 | 0.2650 | 0.1217 |
| 1.3249 | 2.0 | 118 | 1.2105 | 0.4316 | 0.3787 |
| 1.2311 | 3.0 | 177 | 1.1470 | 0.4744 | 0.4168 |
| 1.2046 | 4.0 | 236 | 1.0952 | 0.5427 | 0.5285 |
| 1.1725 | 5.0 | 295 | 1.0585 | 0.5128 | 0.4763 |
| 1.1276 | 6.0 | 354 | 1.0612 | 0.5940 | 0.5859 |
| 1.0786 | 7.0 | 413 | 1.0244 | 0.6026 | 0.5922 |
| 1.0536 | 8.0 | 472 | 0.9816 | 0.6410 | 0.6345 |
| 1.0409 | 9.0 | 531 | 0.9825 | 0.6325 | 0.6258 |
| 1.0719 | 10.0 | 590 | 0.9725 | 0.6410 | 0.6344 |
Framework versions
- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- mit
- Created
- Jun 9, 2025
- Updated
- Jun 9, 2025