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README.md
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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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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: e5_finetuned
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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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# e5_finetuned
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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: 0.0611
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- Precision: 0.9494
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- Recall: 0.8860
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- F1: 0.9166
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- Accuracy: 0.9799
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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: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:------:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 0.0009 | 2 | 0.7141 | 0.125 | 1.0 | 0.2222 | 0.125 |
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| 0.1046 | 0.9998 | 2334 | 0.0905 | 0.9564 | 0.8239 | 0.8852 | 0.9733 |
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| 0.0786 | 2.0 | 4669 | 0.0734 | 0.9550 | 0.8540 | 0.9016 | 0.9767 |
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| 0.0761 | 2.9998 | 7003 | 0.0690 | 0.9358 | 0.8834 | 0.9088 | 0.9778 |
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| 0.0673 | 4.0 | 9338 | 0.0621 | 0.9594 | 0.8750 | 0.9152 | 0.9797 |
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| 0.0709 | 4.9989 | 11670 | 0.0611 | 0.9494 | 0.8860 | 0.9166 | 0.9799 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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