File size: 2,370 Bytes
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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
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