---
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-large-instruct
tags:
- generated_from_trainer
model-index:
- name: e5_EC_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_EC_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: 0.1220
- 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