---
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-large-instruct
tags:
- generated_from_trainer
model-index:
- name: e5_Dechets_MultiLabel_11082025
  results: []
---

<!-- 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_Dechets_MultiLabel_11082025

This model is a fine-tuned version of [intfloat/multilingual-e5-large-instruct](https://huggingface.co/intfloat/multilingual-e5-large-instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1865
- F1 Weighted: 0.9369

## 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-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Weighted |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 0.9053        | 1.0   | 181  | 0.5982          | 0.7363      |
| 0.5249        | 2.0   | 362  | 0.3559          | 0.8555      |
| 0.3522        | 3.0   | 543  | 0.2938          | 0.8827      |
| 0.277         | 4.0   | 724  | 0.2611          | 0.9013      |
| 0.2244        | 5.0   | 905  | 0.2399          | 0.9118      |
| 0.1936        | 6.0   | 1086 | 0.2483          | 0.9133      |
| 0.165         | 7.0   | 1267 | 0.2163          | 0.9219      |
| 0.1422        | 8.0   | 1448 | 0.1924          | 0.9320      |
| 0.1232        | 9.0   | 1629 | 0.1878          | 0.9361      |
| 0.1096        | 10.0  | 1810 | 0.1913          | 0.9364      |
| 0.0975        | 11.0  | 1991 | 0.1865          | 0.9369      |


### Framework versions

- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4