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--- |
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library_name: transformers |
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license: mit |
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base_model: microsoft/MiniLM-L12-H384-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: minilm-finetuned-emotion |
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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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# minilm-finetuned-emotion |
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This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4249 |
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- F1: 0.9065 |
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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: 64 |
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- eval_batch_size: 64 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 1.422 | 1.0 | 250 | 1.0999 | 0.5547 | |
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| 0.9267 | 2.0 | 500 | 0.7411 | 0.8058 | |
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| 0.6629 | 3.0 | 750 | 0.5482 | 0.8749 | |
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| 0.5111 | 4.0 | 1000 | 0.4645 | 0.8970 | |
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| 0.4399 | 5.0 | 1250 | 0.4249 | 0.9065 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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