---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: zephyr_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. -->

# zephyr_instruct_generation

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6969

## 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: 0.0001
- 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: 250

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9323        | 0.4   | 10   | 2.3454          |
| 1.8157        | 0.8   | 20   | 1.2996          |
| 1.0619        | 1.2   | 30   | 0.9573          |
| 0.9194        | 1.6   | 40   | 0.8412          |
| 0.8632        | 2.0   | 50   | 0.7692          |
| 0.7134        | 2.4   | 60   | 0.7218          |
| 0.713         | 2.8   | 70   | 0.6712          |
| 0.5945        | 3.2   | 80   | 0.6554          |
| 0.5862        | 3.6   | 90   | 0.6273          |
| 0.5921        | 4.0   | 100  | 0.5959          |
| 0.4869        | 4.4   | 110  | 0.6252          |
| 0.4996        | 4.8   | 120  | 0.5930          |
| 0.4916        | 5.2   | 130  | 0.6227          |
| 0.4385        | 5.6   | 140  | 0.6186          |
| 0.4755        | 6.0   | 150  | 0.6063          |
| 0.4194        | 6.4   | 160  | 0.6827          |
| 0.4211        | 6.8   | 170  | 0.6189          |
| 0.3944        | 7.2   | 180  | 0.6656          |
| 0.3687        | 7.6   | 190  | 0.6673          |
| 0.3811        | 8.0   | 200  | 0.6728          |
| 0.3537        | 8.4   | 210  | 0.7390          |
| 0.3427        | 8.8   | 220  | 0.6733          |
| 0.3373        | 9.2   | 230  | 0.7724          |
| 0.3415        | 9.6   | 240  | 0.6975          |
| 0.3325        | 10.0  | 250  | 0.6969          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0