|
|
--- |
|
|
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 |
|
|
|
