metadata
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: lemone-router
results: []
lemone-router
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: 0.4096
- Accuracy: 0.9265
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: 4.099463734610582e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 23
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5371 | 1.0 | 2809 | 0.4147 | 0.8680 |
| 0.3154 | 2.0 | 5618 | 0.3470 | 0.8914 |
| 0.2241 | 3.0 | 8427 | 0.3345 | 0.9147 |
| 0.1273 | 4.0 | 11236 | 0.3788 | 0.9187 |
| 0.0525 | 5.0 | 14045 | 0.4096 | 0.9265 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.1