---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: Project5_V3_Mistral7b_V2.1
  results: []
---

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# Project5_V3_Mistral7b_V2.1

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3036

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.8   | 1    | 2.3482          |
| No log        | 1.6   | 2    | 2.3439          |
| No log        | 2.4   | 3    | 2.3386          |
| 2.3422        | 4.0   | 5    | 2.3264          |
| 2.3422        | 4.8   | 6    | 2.3212          |
| 2.3422        | 5.6   | 7    | 2.3166          |
| 2.3422        | 6.4   | 8    | 2.3126          |
| 2.3191        | 8.0   | 10   | 2.3072          |
| 2.3191        | 8.8   | 11   | 2.3055          |
| 2.3191        | 9.6   | 12   | 2.3045          |
| 2.3191        | 10.4  | 13   | 2.3039          |
| 2.3082        | 12.0  | 15   | 2.3036          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1