---
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-large-instruct
tags:
- generated_from_trainer
model-index:
- name: e5_Biodiversite_MultiLabel_08092025
  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_Biodiversite_MultiLabel_08092025

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: 0.1089
- F1 Weighted: 0.9597

## 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_FUSED 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 |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 0.9101        | 1.0   | 279  | 0.5111          | 0.7380      |
| 0.4746        | 2.0   | 558  | 0.3218          | 0.8485      |
| 0.3287        | 3.0   | 837  | 0.2521          | 0.8778      |
| 0.2518        | 4.0   | 1116 | 0.2044          | 0.9006      |
| 0.1986        | 5.0   | 1395 | 0.1751          | 0.9190      |
| 0.1587        | 6.0   | 1674 | 0.1576          | 0.9316      |
| 0.1317        | 7.0   | 1953 | 0.1398          | 0.9408      |
| 0.1111        | 8.0   | 2232 | 0.1270          | 0.9464      |
| 0.0929        | 9.0   | 2511 | 0.1237          | 0.9517      |
| 0.0818        | 10.0  | 2790 | 0.1211          | 0.9528      |
| 0.0716        | 11.0  | 3069 | 0.1133          | 0.9570      |
| 0.0649        | 12.0  | 3348 | 0.1089          | 0.9597      |


### Framework versions

- Transformers 4.56.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0