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--- |
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license: mit |
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base_model: intfloat/multilingual-e5-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: digidawfinal_E5small |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# digidawfinal_E5small |
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This model is a fine-tuned version of [intfloat/multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6421 |
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- Accuracy: 0.809 |
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- Precision: 0.3047 |
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- Recall: 0.3371 |
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- F1: 0.3118 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 1.3384 | 1.0 | 157 | 0.7615 | 0.803 | 0.1933 | 0.1749 | 0.1757 | |
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| 1.0082 | 2.0 | 314 | 0.6585 | 0.804 | 0.3053 | 0.3368 | 0.3102 | |
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| 0.8286 | 3.0 | 471 | 0.6421 | 0.809 | 0.3047 | 0.3371 | 0.3118 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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