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emotion-model2_3
Semhal2024/emotion-model2_3
emotion-model2_3 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
- fed90faf
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_3
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: 1.0322
- Accuracy: 0.5385
- F1: 0.5161
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 |
|---|---|---|---|---|---|
| 1.3809 | 1.0 | 59 | 1.3544 | 0.3120 | 0.2551 |
| 1.3375 | 2.0 | 118 | 1.2973 | 0.4017 | 0.3188 |
| 1.2571 | 3.0 | 177 | 1.2098 | 0.4444 | 0.3649 |
| 1.1913 | 4.0 | 236 | 1.2012 | 0.4872 | 0.4876 |
| 1.1515 | 5.0 | 295 | 1.1937 | 0.4530 | 0.4105 |
| 1.1014 | 6.0 | 354 | 1.0828 | 0.5214 | 0.4977 |
| 1.1077 | 7.0 | 413 | 1.0547 | 0.5043 | 0.4763 |
| 1.0864 | 8.0 | 472 | 1.0468 | 0.5342 | 0.5111 |
| 1.0667 | 9.0 | 531 | 1.0322 | 0.5385 | 0.5161 |
| 1.0396 | 10.0 | 590 | 1.0328 | 0.5171 | 0.4902 |
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