metadata
license: llama2
base_model: TheBloke/vigogne-2-70B-chat-GPTQ
tags:
- generated_from_trainer
model-index:
- name: Vigogne70b-fans
results: []
Vigogne70b-fans
This model is a fine-tuned version of TheBloke/vigogne-2-70B-chat-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9593
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: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9503 | 0.02 | 10 | 1.6354 |
| 1.2959 | 0.04 | 20 | 1.2117 |
| 1.2316 | 0.07 | 30 | 1.1256 |
| 1.1742 | 0.09 | 40 | 1.0960 |
| 1.1643 | 0.11 | 50 | 1.0677 |
| 1.0667 | 0.13 | 60 | 1.0449 |
| 1.0232 | 0.15 | 70 | 1.0391 |
| 0.9864 | 0.17 | 80 | 1.0272 |
| 1.0588 | 0.2 | 90 | 1.0206 |
| 0.906 | 0.22 | 100 | 1.0020 |
| 1.098 | 0.24 | 110 | 0.9979 |
| 0.9973 | 0.26 | 120 | 0.9883 |
| 0.9999 | 0.28 | 130 | 1.0002 |
| 1.121 | 0.31 | 140 | 0.9752 |
| 0.9726 | 0.33 | 150 | 0.9722 |
| 1.015 | 0.35 | 160 | 0.9680 |
| 0.8247 | 0.37 | 170 | 0.9664 |
| 0.823 | 0.39 | 180 | 0.9613 |
| 0.8921 | 0.41 | 190 | 0.9607 |
| 1.0024 | 0.44 | 200 | 0.9593 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0