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--- |
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license: mit |
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base_model: intfloat/multilingual-e5-large |
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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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- f1 |
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model-index: |
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- name: multilingual-e5-large-finetuned-autext24 |
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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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# multilingual-e5-large-finetuned-autext24 |
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This model is a fine-tuned version of [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2096 |
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- Accuracy: 0.9673 |
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- F1: 0.9673 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 4798 | 0.1903 | 0.9527 | 0.9526 | |
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| 0.1396 | 2.0 | 9596 | 0.1751 | 0.9672 | 0.9672 | |
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| 0.1396 | 3.0 | 14394 | 0.2093 | 0.9647 | 0.9646 | |
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| 0.0391 | 4.0 | 19192 | 0.1954 | 0.9690 | 0.9690 | |
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| 0.0391 | 5.0 | 23990 | 0.2096 | 0.9673 | 0.9673 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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