metadata
license: llama2
base_model: TheBloke/vigogne-2-70B-chat-GPTQ
tags:
- generated_from_trainer
model-index:
- name: Vigogne70b-last_fan
results: []
Vigogne70b-last_fan
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: 0.8007
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: 0.0005
- 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: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.04 | 200 | 0.9786 |
| No log | 0.09 | 400 | 0.9424 |
| 0.9766 | 0.13 | 600 | 0.9057 |
| 0.9766 | 0.18 | 800 | 0.8812 |
| 0.8539 | 0.22 | 1000 | 0.8675 |
| 0.8539 | 0.27 | 1200 | 0.8434 |
| 0.8539 | 0.31 | 1400 | 0.8311 |
| 0.8396 | 0.36 | 1600 | 0.8195 |
| 0.8396 | 0.4 | 1800 | 0.8073 |
| 0.7841 | 0.44 | 2000 | 0.8007 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0