End of training
Browse files- README.md +66 -0
- model.safetensors +1 -1
README.md
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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: 0.2335
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- Accuracy: 0.9666
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- F1: 0.9666
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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 | 0.0966 | 0.9686 | 0.9686 |
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| 0.1403 | 2.0 | 9596 | 0.1704 | 0.9661 | 0.9661 |
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| 0.1403 | 3.0 | 14394 | 0.1661 | 0.9696 | 0.9696 |
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| 0.0362 | 4.0 | 19192 | 0.4430 | 0.9385 | 0.9381 |
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| 0.0362 | 5.0 | 23990 | 0.2335 | 0.9666 | 0.9666 |
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 2239618672
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version https://git-lfs.github.com/spec/v1
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size 2239618672
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