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--- |
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library_name: transformers |
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license: mit |
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base_model: intfloat/multilingual-e5-large-instruct |
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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: e5_Sentiment_General_v2 |
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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_Sentiment_General_v2 |
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This model is a fine-tuned version of [intfloat/multilingual-e5-large-instruct](https://huggingface.co/intfloat/multilingual-e5-large-instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4553 |
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- Accuracy: 0.9016 |
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- F1: 0.9021 |
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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: 3e-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: 8 |
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- total_train_batch_size: 64 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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- label_smoothing_factor: 0.1 |
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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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| 0.4454 | 1.0 | 328 | 0.3933 | 0.8716 | 0.8738 | |
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| 0.3303 | 2.0 | 656 | 0.3731 | 0.8808 | 0.8832 | |
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| 0.2655 | 3.0 | 984 | 0.4259 | 0.9000 | 0.9012 | |
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| 0.1864 | 4.0 | 1312 | 0.4484 | 0.9008 | 0.9014 | |
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| 0.1207 | 5.0 | 1640 | 0.4553 | 0.9016 | 0.9021 | |
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### Framework versions |
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- Transformers 4.53.2 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.2 |
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