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---
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
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