metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: multilingual-e5-base-ling-cls
results: []
multilingual-e5-base-ling-cls
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: 0.9649
- Accuracy: 0.7679
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.527 | 1.0 | 1009 | 0.5061 | 0.7848 |
| 0.4486 | 2.0 | 2018 | 0.5401 | 0.7879 |
| 0.3367 | 3.0 | 3027 | 0.6304 | 0.7783 |
| 0.2428 | 4.0 | 4036 | 0.7793 | 0.7705 |
| 0.1649 | 5.0 | 5045 | 0.9649 | 0.7679 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.11.6