---
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-large-instruct
tags:
- generated_from_trainer
model-index:
- name: e5_Energie_MultiLabel_12082025
  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_Energie_MultiLabel_12082025

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: 0.1449
- F1 Weighted: 0.9378

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 0.8575        | 1.0   | 371  | 0.4846          | 0.7216      |
| 0.4435        | 2.0   | 742  | 0.3305          | 0.8209      |
| 0.3163        | 3.0   | 1113 | 0.2700          | 0.8520      |
| 0.2478        | 4.0   | 1484 | 0.2310          | 0.8778      |
| 0.2019        | 5.0   | 1855 | 0.2029          | 0.8965      |
| 0.1715        | 6.0   | 2226 | 0.1865          | 0.9044      |
| 0.1451        | 7.0   | 2597 | 0.1685          | 0.9192      |
| 0.1244        | 8.0   | 2968 | 0.1624          | 0.9224      |
| 0.1088        | 9.0   | 3339 | 0.1529          | 0.9301      |
| 0.0951        | 10.0  | 3710 | 0.1507          | 0.9352      |
| 0.0857        | 11.0  | 4081 | 0.1537          | 0.9340      |
| 0.077         | 12.0  | 4452 | 0.1448          | 0.9362      |
| 0.0712        | 13.0  | 4823 | 0.1449          | 0.9378      |


### Framework versions

- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4