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--- |
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license: llama2 |
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base_model: TheBloke/vigogne-2-70B-chat-GPTQ |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Vigogne70b-ass-fan |
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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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# Vigogne70b-ass-fan |
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This model is a fine-tuned version of [TheBloke/vigogne-2-70B-chat-GPTQ](https://huggingface.co/TheBloke/vigogne-2-70B-chat-GPTQ) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8725 |
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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: 0.0004 |
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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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- lr_scheduler_warmup_steps: 2 |
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- training_steps: 500 |
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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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| No log | 0.09 | 40 | 1.0751 | |
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| No log | 0.17 | 80 | 0.9983 | |
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| No log | 0.26 | 120 | 0.9894 | |
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| No log | 0.35 | 160 | 0.9468 | |
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| No log | 0.44 | 200 | 0.9348 | |
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| No log | 0.52 | 240 | 0.9185 | |
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| No log | 0.61 | 280 | 0.9027 | |
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| No log | 0.7 | 320 | 0.8952 | |
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| No log | 0.78 | 360 | 0.8924 | |
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| No log | 0.87 | 400 | 0.8806 | |
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| No log | 0.96 | 440 | 0.8769 | |
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| No log | 1.05 | 480 | 0.8725 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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