---
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-large-instruct
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: e5_Biodiversite_v2
  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_v2

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: 0.3241
- Accuracy: 0.9315
- F1: 0.9313

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.8585        | 1.0   | 57   | 1.1899          | 0.7249   | 0.7193 |
| 0.8167        | 2.0   | 114  | 0.2690          | 0.9006   | 0.9000 |
| 0.2562        | 3.0   | 171  | 0.2405          | 0.9160   | 0.9160 |
| 0.1603        | 4.0   | 228  | 0.2849          | 0.9138   | 0.9136 |
| 0.0838        | 5.0   | 285  | 0.2489          | 0.9227   | 0.9223 |
| 0.0574        | 6.0   | 342  | 0.3241          | 0.9315   | 0.9313 |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1