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---
license: llama2
base_model: TheBloke/vigogne-2-70B-chat-GPTQ
tags:
- generated_from_trainer
model-index:
- name: Vigogne70b-last_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-last_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: 0.7698
## 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: 1000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 0.01 | 50 | 1.0362 |
| No log | 0.02 | 100 | 0.9411 |
| No log | 0.03 | 150 | 0.9255 |
| No log | 0.04 | 200 | 0.8966 |
| No log | 0.05 | 250 | 0.8685 |
| No log | 0.06 | 300 | 0.8707 |
| No log | 0.08 | 350 | 0.8515 |
| No log | 0.09 | 400 | 0.8420 |
| No log | 0.1 | 450 | 0.8399 |
| 0.9406 | 0.11 | 500 | 0.8246 |
| 0.9406 | 0.12 | 550 | 0.8070 |
| 0.9406 | 0.13 | 600 | 0.8089 |
| 0.9406 | 0.14 | 650 | 0.8018 |
| 0.9406 | 0.15 | 700 | 0.7947 |
| 0.9406 | 0.16 | 750 | 0.7910 |
| 0.9406 | 0.17 | 800 | 0.7828 |
| 0.9406 | 0.18 | 850 | 0.7774 |
| 0.9406 | 0.19 | 900 | 0.7747 |
| 0.9406 | 0.21 | 950 | 0.7712 |
| 0.7812 | 0.22 | 1000 | 0.7698 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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