---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: coinplusfire_llm_full_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_full_2

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1383

## 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: 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7087        | 1.0   | 207  | 1.4361          |
| 1.354         | 2.0   | 414  | 1.3195          |
| 1.2464        | 3.0   | 621  | 1.2516          |
| 1.1702        | 4.0   | 828  | 1.2141          |
| 1.1157        | 5.0   | 1035 | 1.1889          |
| 1.072         | 6.0   | 1242 | 1.1657          |
| 1.0378        | 7.0   | 1449 | 1.1549          |
| 1.0104        | 8.0   | 1656 | 1.1423          |
| 0.9878        | 9.0   | 1863 | 1.1391          |
| 0.971         | 10.0  | 2070 | 1.1383          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2