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--- |
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license: bigscience-bloom-rail-1.0 |
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library_name: peft |
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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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base_model: bigscience/bloom-560m |
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model-index: |
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- name: 4bit-emotion-detection |
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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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# 4bit-emotion-detection |
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This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co./bigscience/bloom-560m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9589 |
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- Accuracy: 0.372 |
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- F1: 0.3552 |
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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: 1e-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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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 750 |
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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 | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 2.887 | 1.0 | 250 | 2.9863 | 0.2865 | 0.2788 | |
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| 2.4198 | 2.0 | 500 | 2.1868 | 0.345 | 0.3360 | |
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| 1.7684 | 3.0 | 750 | 1.9589 | 0.372 | 0.3552 | |
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### Framework versions |
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- PEFT 0.8.2.dev0 |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.1 |
