| | --- |
| | license: mit |
| | base_model: intfloat/multilingual-e5-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - precision |
| | - recall |
| | - f1 |
| | model-index: |
| | - name: digidawfinal2 |
| | 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. --> |
| |
|
| | # digidawfinal2 |
| |
|
| | 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: 0.6325 |
| | - Accuracy: 0.826 |
| | - Precision: 0.4849 |
| | - Recall: 0.3920 |
| | - F1: 0.4038 |
| |
|
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
| | | 1.3648 | 1.0 | 157 | 0.7544 | 0.8 | 0.1481 | 0.1495 | 0.1451 | |
| | | 1.0523 | 2.0 | 314 | 0.7241 | 0.791 | 0.3328 | 0.3616 | 0.3064 | |
| | | 0.8635 | 3.0 | 471 | 0.6325 | 0.826 | 0.4849 | 0.3920 | 0.4038 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.41.2 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| |
|
