| --- |
| license: mit |
| base_model: intfloat/multilingual-e5-small |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - precision |
| - recall |
| - f1 |
| model-index: |
| - name: digidawfinal_E5small |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # digidawfinal_E5small |
| |
| This model is a fine-tuned version of [intfloat/multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6421 |
| - Accuracy: 0.809 |
| - Precision: 0.3047 |
| - Recall: 0.3371 |
| - F1: 0.3118 |
| |
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
| | 1.3384 | 1.0 | 157 | 0.7615 | 0.803 | 0.1933 | 0.1749 | 0.1757 | |
| | 1.0082 | 2.0 | 314 | 0.6585 | 0.804 | 0.3053 | 0.3368 | 0.3102 | |
| | 0.8286 | 3.0 | 471 | 0.6421 | 0.809 | 0.3047 | 0.3371 | 0.3118 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.2 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
| |
