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---
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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# coinplusfire_llm_2
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1450
## 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: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2919 | 0.99 | 51 | 1.8319 |
| 1.6082 | 1.99 | 103 | 1.6426 |
| 1.4689 | 3.0 | 155 | 1.5522 |
| 1.3821 | 4.0 | 207 | 1.4883 |
| 1.3406 | 4.99 | 258 | 1.4421 |
| 1.2592 | 5.99 | 310 | 1.3900 |
| 1.2115 | 7.0 | 362 | 1.3508 |
| 1.1705 | 8.0 | 414 | 1.3213 |
| 1.1555 | 8.99 | 465 | 1.2913 |
| 1.1031 | 9.99 | 517 | 1.2629 |
| 1.0727 | 11.0 | 569 | 1.2418 |
| 1.0481 | 12.0 | 621 | 1.2208 |
| 1.0466 | 12.99 | 672 | 1.1971 |
| 1.006 | 13.99 | 724 | 1.1864 |
| 0.989 | 15.0 | 776 | 1.1732 |
| 0.9719 | 16.0 | 828 | 1.1589 |
| 0.979 | 16.99 | 879 | 1.1535 |
| 0.9494 | 17.99 | 931 | 1.1469 |
| 0.9401 | 19.0 | 983 | 1.1449 |
| 0.9302 | 19.71 | 1020 | 1.1450 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |