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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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model-index: |
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- name: e5_RSE_MultiLabel_08092025 |
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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_RSE_MultiLabel_08092025 |
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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: 0.2425 |
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- F1 Weighted: 0.8843 |
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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-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Weighted | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------:| |
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| 1.0829 | 1.0 | 178 | 0.8684 | 0.5980 | |
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| 0.8123 | 2.0 | 356 | 0.5814 | 0.6966 | |
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| 0.6025 | 3.0 | 534 | 0.4584 | 0.7583 | |
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| 0.4907 | 4.0 | 712 | 0.3871 | 0.7954 | |
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| 0.422 | 5.0 | 890 | 0.3562 | 0.8068 | |
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| 0.3762 | 6.0 | 1068 | 0.3218 | 0.8299 | |
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| 0.3347 | 7.0 | 1246 | 0.3066 | 0.8399 | |
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| 0.3032 | 8.0 | 1424 | 0.2843 | 0.8505 | |
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| 0.2782 | 9.0 | 1602 | 0.2726 | 0.8592 | |
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| 0.2527 | 10.0 | 1780 | 0.2639 | 0.8653 | |
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| 0.2352 | 11.0 | 1958 | 0.2632 | 0.8648 | |
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| 0.2211 | 12.0 | 2136 | 0.2549 | 0.8717 | |
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| 0.2076 | 13.0 | 2314 | 0.2557 | 0.8746 | |
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| 0.1963 | 14.0 | 2492 | 0.2467 | 0.8816 | |
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| 0.1865 | 15.0 | 2670 | 0.2471 | 0.8808 | |
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| 0.1808 | 16.0 | 2848 | 0.2471 | 0.8829 | |
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| 0.1755 | 17.0 | 3026 | 0.2391 | 0.8873 | |
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| 0.1723 | 18.0 | 3204 | 0.2404 | 0.8853 | |
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| 0.1665 | 19.0 | 3382 | 0.2434 | 0.8848 | |
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| 0.1643 | 20.0 | 3560 | 0.2425 | 0.8843 | |
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### Framework versions |
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- Transformers 4.56.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.0 |
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