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e5_Sentiment_EC_v2
Ludo33/e5_Sentiment_EC_v2
e5_Sentiment_EC_v2 is a text classification model from Ludo33. Use it when you need a label for a piece of text. 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
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jun 27, 2025
- Updated
- Jun 27, 2025
- SHA
- 13f632fb
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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. -->
e5_Sentiment_EC_v2
This model is a fine-tuned version of intfloat/multilingual-e5-large-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7983
- Accuracy: 0.9264
- F1: 0.9272
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
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.9261 | 1.0 | 60 | 0.4343 | 0.8738 | 0.8831 |
| 0.4464 | 2.0 | 120 | 0.5634 | 0.8780 | 0.8798 |
| 0.3124 | 3.0 | 180 | 0.4483 | 0.8833 | 0.8886 |
| 0.1974 | 4.0 | 240 | 0.6330 | 0.9169 | 0.9166 |
| 0.0894 | 5.0 | 300 | 0.5516 | 0.9317 | 0.9322 |
| 0.0702 | 6.0 | 360 | 0.5297 | 0.9338 | 0.9343 |
| 0.0359 | 7.0 | 420 | 0.7433 | 0.9338 | 0.9327 |
| 0.0269 | 8.0 | 480 | 0.7983 | 0.9264 | 0.9272 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jun 27, 2025
- Updated
- Jun 27, 2025