metadata
license: llama2
base_model: TheBloke/vigogne-2-70B-chat-GPTQ
tags:
- generated_from_trainer
model-index:
- name: Vigogne70b-ass-fan
results: []
Vigogne70b-ass-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: 0.8725
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