metadata
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: multilingual-e5-base-router-pt
results: []
multilingual-e5-base-router-pt
This model is a fine-tuned version of intfloat/multilingual-e5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0634
- F1: 0.9917
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: 8
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0591 | 1.0 | 957 | 0.0475 | 0.9891 |
| 0.0364 | 2.0 | 1914 | 0.0522 | 0.9891 |
| 0.0123 | 3.0 | 2871 | 0.0599 | 0.9913 |
| 0.0052 | 4.0 | 3828 | 0.0662 | 0.9913 |
| 0.0001 | 5.0 | 4785 | 0.0634 | 0.9917 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0