---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: Zeroshot-3.2.3-Mistral-7B-pipeline-config
  results: []
---

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# Zeroshot-3.2.3-Mistral-7B-pipeline-config

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7373

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 342
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0342        | 0.81  | 50   | 0.8600          |
| 0.8239        | 1.62  | 100  | 0.8089          |
| 0.7904        | 2.43  | 150  | 0.7841          |
| 0.7596        | 3.24  | 200  | 0.7662          |
| 0.7394        | 4.05  | 250  | 0.7511          |
| 0.7133        | 4.86  | 300  | 0.7373          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.1