---
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-large-instruct
tags:
- generated_from_trainer
model-index:
- name: e5_Dechets_MultiLabel_07082025
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# e5_Dechets_MultiLabel_07082025

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: 0.2103
- F1 Weighted: 0.9299

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 0.9037        | 1.0   | 180  | 0.5881          | 0.7452      |
| 0.5128        | 2.0   | 360  | 0.3669          | 0.8503      |
| 0.3466        | 3.0   | 540  | 0.3095          | 0.8792      |
| 0.2719        | 4.0   | 720  | 0.2777          | 0.8974      |
| 0.2186        | 5.0   | 900  | 0.2298          | 0.9143      |
| 0.1839        | 6.0   | 1080 | 0.2198          | 0.9188      |
| 0.1587        | 7.0   | 1260 | 0.2159          | 0.9219      |
| 0.1343        | 8.0   | 1440 | 0.2041          | 0.9278      |
| 0.117         | 9.0   | 1620 | 0.2101          | 0.9261      |
| 0.1037        | 10.0  | 1800 | 0.1985          | 0.9273      |
| 0.095         | 11.0  | 1980 | 0.2103          | 0.9299      |


### Framework versions

- Transformers 4.54.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4