---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: cognitivecomputations/dolphin-2.2.1-mistral-7b
datasets:
- generator
model-index:
- name: mistral_instruct_generation
  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. -->

# mistral_instruct_generation

This model is a fine-tuned version of [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5008

## 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: 3
- 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
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.9388        | 0.1869 | 20   | 1.8326          |
| 1.7574        | 0.3738 | 40   | 1.6963          |
| 1.6736        | 0.5607 | 60   | 1.6514          |
| 1.6703        | 0.7477 | 80   | 1.6321          |
| 1.6708        | 0.9346 | 100  | 1.6113          |
| 1.6049        | 1.1215 | 120  | 1.5912          |
| 1.6446        | 1.3084 | 140  | 1.5891          |
| 1.5222        | 1.4953 | 160  | 1.5691          |
| 1.6022        | 1.6822 | 180  | 1.5599          |
| 1.4326        | 1.8692 | 200  | 1.5512          |
| 1.4876        | 2.0561 | 220  | 1.5548          |
| 1.4821        | 2.2430 | 240  | 1.5379          |
| 1.3868        | 2.4299 | 260  | 1.5326          |
| 1.5277        | 2.6168 | 280  | 1.5286          |
| 1.5205        | 2.8037 | 300  | 1.5084          |
| 1.4125        | 2.9907 | 320  | 1.5008          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1