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--- |
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base_model: facebook/opt-350m |
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library_name: peft |
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license: other |
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tags: |
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- base_model:adapter:facebook/opt-350m |
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- lora |
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- transformers |
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model-index: |
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- name: opt-350m-hate-classifier |
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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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# opt-350m-hate-classifier |
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6381 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use 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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.6757 | 1.0 | 450 | 0.4493 | |
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| 0.4331 | 2.0 | 900 | 0.4464 | |
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| 0.0726 | 3.0 | 1350 | 0.6210 | |
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| 0.0006 | 4.0 | 1800 | 0.6127 | |
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| 0.3316 | 5.0 | 2250 | 0.6381 | |
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### Framework versions |
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- PEFT 0.17.1 |
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- Transformers 4.46.3 |
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- Pytorch 2.8.0+cu128 |
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- Datasets 2.17.0 |
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- Tokenizers 0.20.0 |
