---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral-codaspy
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral-codaspy

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0002

## 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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7694        | 0.22  | 50   | 0.0199          |
| 0.0106        | 0.44  | 100  | 0.0061          |
| 0.0036        | 0.66  | 150  | 0.0018          |
| 0.0011        | 0.88  | 200  | 0.0006          |
| 0.0005        | 1.11  | 250  | 0.0004          |
| 0.0003        | 1.33  | 300  | 0.0003          |
| 0.0003        | 1.55  | 350  | 0.0002          |
| 0.0002        | 1.77  | 400  | 0.0002          |
| 0.0002        | 1.99  | 450  | 0.0002          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0