metadata
library_name: transformers
base_model: agentlans/multilingual-e5-small-aligned
language:
- multilingual
tags:
- generated_from_trainer
model-index:
- name: multilingual-e5-small-aligned-transformed-readability
results: []
datasets:
- agentlans/en-translations
multilingual-e5-small-aligned-transformed-readability
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: 0.1989
- Mse: 0.1989
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: 32
- 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 |
|---|---|---|---|---|
| 0.2104 | 1.0 | 27096 | 0.2061 | 0.2061 |
| 0.1718 | 2.0 | 54192 | 0.2066 | 0.2066 |
| 0.141 | 3.0 | 81288 | 0.1989 | 0.1989 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3