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README.md
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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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