---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: cot_method2test-mistral-7B_v1
  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. -->

# cot_method2test-mistral-7B_v1

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7463

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0057        | 0.48  | 5    | 1.2410          |
| 0.9781        | 0.95  | 10   | 1.1410          |
| 0.8181        | 1.43  | 15   | 1.0440          |
| 0.7273        | 1.9   | 20   | 0.9502          |
| 0.6721        | 2.38  | 25   | 0.8735          |
| 0.5397        | 2.86  | 30   | 0.8148          |
| 0.4642        | 3.33  | 35   | 0.7771          |
| 0.4328        | 3.81  | 40   | 0.7565          |
| 0.3788        | 4.29  | 45   | 0.7490          |
| 0.4171        | 4.76  | 50   | 0.7463          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0