---
library_name: transformers
base_model: agentlans/multilingual-e5-small-aligned
tags:
- generated_from_trainer
model-index:
- name: multilingual-e5-small-aligned-readability
  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. -->

# multilingual-e5-small-aligned-readability

This model is a fine-tuned version of [agentlans/multilingual-e5-small-aligned](https://huggingface.co/agentlans/multilingual-e5-small-aligned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6611
- Mse: 3.6611

## 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: 64
- eval_batch_size: 8
- 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
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Mse    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 3.8356        | 1.0   | 13548 | 3.8022          | 3.8022 |
| 3.1173        | 2.0   | 27096 | 3.7407          | 3.7407 |
| 2.6344        | 3.0   | 40644 | 3.6611          | 3.6611 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3