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---
license: llama2
base_model: TheBloke/vigogne-2-70B-chat-GPTQ
tags:
- generated_from_trainer
model-index:
- name: Vigogne70b-ass-fan
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Vigogne70b-ass-fan
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.
It achieves the following results on the evaluation set:
- Loss: 0.8725
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0004
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 500
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 0.09 | 40 | 1.0751 |
| No log | 0.17 | 80 | 0.9983 |
| No log | 0.26 | 120 | 0.9894 |
| No log | 0.35 | 160 | 0.9468 |
| No log | 0.44 | 200 | 0.9348 |
| No log | 0.52 | 240 | 0.9185 |
| No log | 0.61 | 280 | 0.9027 |
| No log | 0.7 | 320 | 0.8952 |
| No log | 0.78 | 360 | 0.8924 |
| No log | 0.87 | 400 | 0.8806 |
| No log | 0.96 | 440 | 0.8769 |
| No log | 1.05 | 480 | 0.8725 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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