metadata
license: mit
base_model: intfloat/multilingual-e5-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: digidaw
results: []
digidaw
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: 5.1093
- Accuracy: 0.095
- Precision: 0.0784
- Recall: 0.1217
- F1: 0.0557
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.9895 | 1.0 | 156 | 4.4196 | 0.089 | 0.0792 | 0.1167 | 0.0479 |
| 0.6357 | 2.0 | 312 | 4.8610 | 0.089 | 0.0952 | 0.1160 | 0.0495 |
| 0.3968 | 3.0 | 468 | 5.1093 | 0.095 | 0.0784 | 0.1217 | 0.0557 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1