---
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: 0.7409

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9344        | 0.4   | 10   | 2.3554          |
| 1.822         | 0.8   | 20   | 1.3051          |
| 1.0639        | 1.2   | 30   | 0.9542          |
| 0.9127        | 1.6   | 40   | 0.8368          |
| 0.8577        | 2.0   | 50   | 0.7642          |
| 0.7091        | 2.4   | 60   | 0.7175          |
| 0.7112        | 2.8   | 70   | 0.6682          |
| 0.5931        | 3.2   | 80   | 0.6508          |
| 0.5809        | 3.6   | 90   | 0.6226          |
| 0.5901        | 4.0   | 100  | 0.5975          |
| 0.4863        | 4.4   | 110  | 0.6240          |
| 0.5024        | 4.8   | 120  | 0.5896          |
| 0.4932        | 5.2   | 130  | 0.6103          |
| 0.44          | 5.6   | 140  | 0.6158          |
| 0.4737        | 6.0   | 150  | 0.6168          |
| 0.4191        | 6.4   | 160  | 0.6859          |
| 0.4179        | 6.8   | 170  | 0.6237          |
| 0.3921        | 7.2   | 180  | 0.6603          |
| 0.3694        | 7.6   | 190  | 0.6766          |
| 0.3822        | 8.0   | 200  | 0.6559          |
| 0.3495        | 8.4   | 210  | 0.6989          |
| 0.341         | 8.8   | 220  | 0.6622          |
| 0.333         | 9.2   | 230  | 0.7345          |
| 0.3357        | 9.6   | 240  | 0.7215          |
| 0.3284        | 10.0  | 250  | 0.7409          |


### Framework versions

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