metadata
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-large-instruct
tags:
- generated_from_trainer
model-index:
- name: e5_Energie_MultiLabel_08092025
results: []
e5_Energie_MultiLabel_08092025
This model is a fine-tuned version of intfloat/multilingual-e5-large-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1473
- F1 Weighted: 0.9406
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 |
|---|---|---|---|---|
| 0.8088 | 1.0 | 402 | 0.4611 | 0.7347 |
| 0.4222 | 2.0 | 804 | 0.3283 | 0.8228 |
| 0.3117 | 3.0 | 1206 | 0.2786 | 0.8490 |
| 0.2502 | 4.0 | 1608 | 0.2368 | 0.8758 |
| 0.2054 | 5.0 | 2010 | 0.2167 | 0.8865 |
| 0.17 | 6.0 | 2412 | 0.1851 | 0.9109 |
| 0.1448 | 7.0 | 2814 | 0.1787 | 0.9166 |
| 0.1262 | 8.0 | 3216 | 0.1673 | 0.9235 |
| 0.1099 | 9.0 | 3618 | 0.1679 | 0.9220 |
| 0.0961 | 10.0 | 4020 | 0.1564 | 0.9334 |
| 0.0871 | 11.0 | 4422 | 0.1538 | 0.9331 |
| 0.0773 | 12.0 | 4824 | 0.1482 | 0.9390 |
| 0.0712 | 13.0 | 5226 | 0.1549 | 0.9334 |
| 0.0654 | 14.0 | 5628 | 0.1482 | 0.9410 |
| 0.0637 | 15.0 | 6030 | 0.1473 | 0.9406 |
Framework versions
- Transformers 4.56.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0