---
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: 0.5753

## 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: 150

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8455        | 0.4   | 10   | 2.2310          |
| 1.8394        | 0.8   | 20   | 1.3360          |
| 1.0736        | 1.2   | 30   | 0.9132          |
| 0.8515        | 1.6   | 40   | 0.7353          |
| 0.7499        | 2.0   | 50   | 0.6281          |
| 0.5876        | 2.4   | 60   | 0.5897          |
| 0.6041        | 2.8   | 70   | 0.5737          |
| 0.5057        | 3.2   | 80   | 0.5581          |
| 0.512         | 3.6   | 90   | 0.5704          |
| 0.5419        | 4.0   | 100  | 0.5537          |
| 0.4451        | 4.4   | 110  | 0.5777          |
| 0.4467        | 4.8   | 120  | 0.5541          |
| 0.4351        | 5.2   | 130  | 0.5612          |
| 0.3963        | 5.6   | 140  | 0.5898          |
| 0.4264        | 6.0   | 150  | 0.5753          |


### Framework versions

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