---
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-large-instruct
tags:
- generated_from_trainer
model-index:
- name: e5_General_09092025
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# e5_General_09092025

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: 0.1482
- F1 Weighted: 0.9357

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Weighted |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 0.5242        | 1.0   | 740  | 0.2071          | 0.8922      |
| 0.2044        | 2.0   | 1480 | 0.1610          | 0.9117      |
| 0.1462        | 3.0   | 2220 | 0.1408          | 0.9270      |
| 0.1181        | 4.0   | 2960 | 0.1363          | 0.9310      |
| 0.0974        | 5.0   | 3700 | 0.1393          | 0.9329      |
| 0.0815        | 6.0   | 4440 | 0.1482          | 0.9357      |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0