metadata
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: lemone-router-l
results: []
lemone-router-l
This model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4734
- Accuracy: 0.9191
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: 2.6763799752474963e-05
- train_batch_size: 4
- eval_batch_size: 64
- seed: 25
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6402 | 1.0 | 11233 | 0.6569 | 0.8630 |
| 0.5031 | 2.0 | 22466 | 0.5058 | 0.9025 |
| 0.2196 | 3.0 | 33699 | 0.4734 | 0.9191 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.1