metadata
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-large-instruct
tags:
- generated_from_trainer
model-index:
- name: e5_EC_MultiLabel_12082025
results: []
e5_EC_MultiLabel_12082025
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: 0.1220
- F1 Weighted: 0.9559
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 |
|---|---|---|---|---|
| 0.9125 | 1.0 | 324 | 0.5410 | 0.7120 |
| 0.4462 | 2.0 | 648 | 0.2934 | 0.8546 |
| 0.2895 | 3.0 | 972 | 0.2372 | 0.8833 |
| 0.2172 | 4.0 | 1296 | 0.1978 | 0.9065 |
| 0.171 | 5.0 | 1620 | 0.1744 | 0.9182 |
| 0.1389 | 6.0 | 1944 | 0.1505 | 0.9325 |
| 0.116 | 7.0 | 2268 | 0.1402 | 0.9418 |
| 0.0985 | 8.0 | 2592 | 0.1410 | 0.9412 |
| 0.0849 | 9.0 | 2916 | 0.1341 | 0.9480 |
| 0.0707 | 10.0 | 3240 | 0.1276 | 0.9529 |
| 0.063 | 11.0 | 3564 | 0.1239 | 0.9531 |
| 0.0567 | 12.0 | 3888 | 0.1220 | 0.9559 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4