metadata
library_name: transformers
base_model: agentlans/multilingual-e5-small-aligned
tags:
- generated_from_trainer
model-index:
- name: multilingual-e5-small-aligned-quality
results: []
multilingual-e5-small-aligned-quality
This model is a fine-tuned version of agentlans/multilingual-e5-small-aligned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2512
- Mse: 0.2512
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 |
|---|---|---|---|---|
| 0.283 | 1.0 | 13548 | 0.2798 | 0.2798 |
| 0.2212 | 2.0 | 27096 | 0.2522 | 0.2522 |
| 0.1801 | 3.0 | 40644 | 0.2512 | 0.2512 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3