---
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-base
tags:
- generated_from_trainer
model-index:
- name: e5_General_2026
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# e5_General_2026

This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2143
- F1 Weighted: 0.9333

## 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: 2e-05
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 0.8639        | 1.0   | 777  | 0.2139          | 0.8930      |
| 0.3767        | 2.0   | 1554 | 0.1821          | 0.9103      |
| 0.2750        | 3.0   | 2331 | 0.1529          | 0.9235      |
| 0.2158        | 4.0   | 3108 | 0.1605          | 0.9231      |
| 0.1740        | 5.0   | 3885 | 0.1749          | 0.9285      |
| 0.1483        | 6.0   | 4662 | 0.1862          | 0.9265      |
| 0.1301        | 7.0   | 5439 | 0.1979          | 0.9299      |
| 0.1052        | 8.0   | 6216 | 0.2072          | 0.9315      |
| 0.0963        | 9.0   | 6993 | 0.2192          | 0.9301      |
| 0.0825        | 10.0  | 7770 | 0.2143          | 0.9333      |


### Framework versions

- Transformers 5.13.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2