metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: coinplusfire_llm_2
results: []
coinplusfire_llm_2
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: 1.3706
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2985 | 0.99 | 51 | 1.8297 |
| 1.6179 | 1.99 | 103 | 1.6461 |
| 1.4812 | 3.0 | 155 | 1.5621 |
| 1.3993 | 4.0 | 207 | 1.5078 |
| 1.3646 | 4.99 | 258 | 1.4690 |
| 1.2914 | 5.99 | 310 | 1.4270 |
| 1.2542 | 7.0 | 362 | 1.4022 |
| 1.2263 | 8.0 | 414 | 1.3832 |
| 1.2279 | 8.99 | 465 | 1.3720 |
| 1.1812 | 9.86 | 510 | 1.3706 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2