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--- |
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license: openrail |
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base_model: bofenghuang/vigogne-33b-instruct |
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tags: |
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- generated_from_trainer |
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- lora |
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model-index: |
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- name: PointCon-vigogne-33b-instruct-3 |
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results: [] |
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datasets: |
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- IUseAMouse/POINTCON-QA-Light |
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language: |
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- fr |
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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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# PointCon-vigogne-33b-instruct-3 |
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This model is a fine-tuned version of [bofenghuang/vigogne-33b-instruct](https://huggingface.co/bofenghuang/vigogne-33b-instruct) on the .CON french satirical corpus. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8266 |
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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: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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: 2 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.0831 | 0.24 | 30 | 1.9738 | |
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| 1.9472 | 0.48 | 60 | 1.8989 | |
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| 1.8874 | 0.73 | 90 | 1.8626 | |
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| 1.8311 | 0.97 | 120 | 1.8403 | |
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| 1.7394 | 1.21 | 150 | 1.8423 | |
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| 1.6894 | 1.45 | 180 | 1.8373 | |
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| 1.6351 | 1.69 | 210 | 1.8295 | |
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| 1.7245 | 1.94 | 240 | 1.8266 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
