peft tensorboard safetensors trl sft generated_from_trainer dataset:generator base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us
---
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: mistral7b_instruct_generation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral7b_instruct_generation

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: 1.7350

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8197        | 0.0   | 20   | 1.8244          |
| 1.8114        | 0.01  | 40   | 1.7856          |
| 1.8041        | 0.01  | 60   | 1.7743          |
| 1.6704        | 0.01  | 80   | 1.7668          |
| 1.7122        | 0.01  | 100  | 1.7625          |
| 1.7686        | 0.02  | 120  | 1.7556          |
| 1.7956        | 0.02  | 140  | 1.7551          |
| 1.8042        | 0.02  | 160  | 1.7523          |
| 1.7853        | 0.03  | 180  | 1.7500          |
| 1.7753        | 0.03  | 200  | 1.7508          |
| 1.7498        | 0.03  | 220  | 1.7474          |
| 1.8012        | 0.03  | 240  | 1.7459          |
| 1.6975        | 0.04  | 260  | 1.7435          |
| 1.8533        | 0.04  | 280  | 1.7436          |
| 1.8107        | 0.04  | 300  | 1.7426          |
| 1.8557        | 0.04  | 320  | 1.7425          |
| 1.9098        | 0.05  | 340  | 1.7413          |
| 1.8075        | 0.05  | 360  | 1.7426          |
| 1.7687        | 0.05  | 380  | 1.7413          |
| 1.852         | 0.06  | 400  | 1.7392          |
| 1.7799        | 0.06  | 420  | 1.7388          |
| 1.822         | 0.06  | 440  | 1.7367          |
| 1.804         | 0.06  | 460  | 1.7368          |
| 1.8185        | 0.07  | 480  | 1.7365          |
| 1.7878        | 0.07  | 500  | 1.7350          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2