Downloads · 30 days
19
41% of all-time downloads
e5_Sentiment_Dechets_v2
Ludo33/e5_Sentiment_Dechets_v2
e5_Sentiment_Dechets_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. --
All-time downloads
46
Public
Parameters
560M
15.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.2 GB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Apr 7, 2025
- Updated
- Jun 27, 2025
- SHA
- 63ba8079
Try a prompt
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. -->
e5_Sentiment_Dechets_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: 0.6051
- Accuracy: 0.9247
- F1: 0.9243
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 |
|---|---|---|---|---|---|
| No log | 1.0 | 30 | 0.6040 | 0.8870 | 0.8872 |
| 0.763 | 2.0 | 60 | 0.3100 | 0.9100 | 0.9145 |
| 0.763 | 3.0 | 90 | 0.3297 | 0.9247 | 0.9267 |
| 0.2157 | 4.0 | 120 | 0.5087 | 0.9268 | 0.9255 |
| 0.1114 | 5.0 | 150 | 0.6237 | 0.9142 | 0.9151 |
| 0.1114 | 6.0 | 180 | 0.6051 | 0.9247 | 0.9243 |
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
- Apr 7, 2025
- Updated
- Jun 27, 2025