---
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-base
tags:
- generated_from_trainer
model-index:
- name: fine-tuned-e5_v2
  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. -->

# fine-tuned-e5_v2

This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0074

## 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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0284        | 1.0   | 3944  | 0.0180          |
| 0.001         | 2.0   | 7888  | 0.0245          |
| 0.0007        | 3.0   | 11832 | 0.0268          |
| 0.002         | 4.0   | 15776 | 0.0227          |
| 0.0006        | 5.0   | 19720 | 0.0131          |
| 0.0008        | 6.0   | 23664 | 0.0108          |
| 0.0006        | 7.0   | 27608 | 0.0084          |
| 0.0001        | 8.0   | 31552 | 0.0105          |
| 0.0001        | 9.0   | 35496 | 0.0089          |
| 0.0           | 10.0  | 39440 | 0.0074          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+rocm6.2
- Datasets 3.2.0
- Tokenizers 0.21.0