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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-last_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-last_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: 0.7698
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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: 1000
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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 | 0.01 | 50 | 1.0362 |
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| No log | 0.02 | 100 | 0.9411 |
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| No log | 0.03 | 150 | 0.9255 |
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| No log | 0.04 | 200 | 0.8966 |
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| No log | 0.05 | 250 | 0.8685 |
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| No log | 0.06 | 300 | 0.8707 |
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| No log | 0.08 | 350 | 0.8515 |
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| No log | 0.09 | 400 | 0.8420 |
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| No log | 0.1 | 450 | 0.8399 |
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| 0.9406 | 0.11 | 500 | 0.8246 |
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| 0.9406 | 0.12 | 550 | 0.8070 |
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| 0.9406 | 0.13 | 600 | 0.8089 |
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| 0.9406 | 0.14 | 650 | 0.8018 |
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| 0.9406 | 0.15 | 700 | 0.7947 |
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| 0.9406 | 0.16 | 750 | 0.7910 |
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| 0.9406 | 0.17 | 800 | 0.7828 |
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| 0.9406 | 0.18 | 850 | 0.7774 |
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| 0.9406 | 0.19 | 900 | 0.7747 |
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| 0.9406 | 0.21 | 950 | 0.7712 |
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| 0.7812 | 0.22 | 1000 | 0.7698 |
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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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