metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: LLM
results: []
LLM
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1056
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: 0.02
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 27
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2807 | 0.92 | 6 | 2.1056 |
| 1.9558 | 2.0 | 13 | 2.1056 |
| 2.2821 | 2.92 | 19 | 2.1056 |
| 1.956 | 4.0 | 26 | 2.1056 |
| 2.2816 | 4.92 | 32 | 2.1056 |
| 1.9561 | 6.0 | 39 | 2.1056 |
| 2.2812 | 6.92 | 45 | 2.1056 |
| 1.9556 | 8.0 | 52 | 2.1056 |
| 2.2815 | 8.92 | 58 | 2.1056 |
| 1.9555 | 10.0 | 65 | 2.1056 |
| 2.2824 | 10.92 | 71 | 2.1056 |
| 1.9554 | 12.0 | 78 | 2.1056 |
| 2.2823 | 12.92 | 84 | 2.1056 |
| 1.9566 | 14.0 | 91 | 2.1056 |
| 2.2814 | 14.92 | 97 | 2.1056 |
| 1.956 | 16.0 | 104 | 2.1056 |
| 2.2829 | 16.92 | 110 | 2.1056 |
| 1.9559 | 18.0 | 117 | 2.1056 |
| 2.2821 | 18.92 | 123 | 2.1056 |
| 1.9556 | 20.0 | 130 | 2.1056 |
| 2.2817 | 20.92 | 136 | 2.1056 |
| 1.9559 | 22.0 | 143 | 2.1056 |
| 2.2816 | 22.92 | 149 | 2.1056 |
| 1.9561 | 24.0 | 156 | 2.1056 |
| 2.1055 | 24.92 | 162 | 2.1056 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2