| --- |
| library_name: transformers |
| license: mit |
| base_model: intfloat/multilingual-e5-large-instruct |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: e5_EC_v2 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # e5_EC_v2 |
|
|
| 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. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3848 |
| - Accuracy: 0.9181 |
| - F1: 0.9183 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 64 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 20 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 2.0685 | 1.0 | 81 | 1.1118 | 0.7713 | 0.7709 | |
| | 0.5172 | 2.0 | 162 | 0.3434 | 0.8910 | 0.8922 | |
| | 0.2829 | 3.0 | 243 | 0.2663 | 0.9189 | 0.9192 | |
| | 0.1237 | 4.0 | 324 | 0.2979 | 0.9158 | 0.9157 | |
| | 0.065 | 5.0 | 405 | 0.3067 | 0.9274 | 0.9275 | |
| | 0.0452 | 6.0 | 486 | 0.3848 | 0.9181 | 0.9183 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.52.4 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
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|
