---
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: 1.1686

## 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: 8e-05
- 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: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.048         | 0.77  | 10   | 2.4666          |
| 2.1245        | 1.54  | 20   | 1.6932          |
| 1.3178        | 2.31  | 30   | 1.1619          |
| 1.0341        | 3.08  | 40   | 0.9138          |
| 0.8234        | 3.85  | 50   | 0.8017          |
| 0.6618        | 4.62  | 60   | 0.7330          |
| 0.6123        | 5.38  | 70   | 0.7278          |
| 0.539         | 6.15  | 80   | 0.6836          |
| 0.4648        | 6.92  | 90   | 0.7171          |
| 0.4244        | 7.69  | 100  | 0.7712          |
| 0.3771        | 8.46  | 110  | 0.8586          |
| 0.351         | 9.23  | 120  | 0.8261          |
| 0.3233        | 10.0  | 130  | 0.8205          |
| 0.2946        | 10.77 | 140  | 0.8420          |
| 0.289         | 11.54 | 150  | 1.0008          |
| 0.2604        | 12.31 | 160  | 0.9676          |
| 0.2615        | 13.08 | 170  | 1.0381          |
| 0.2557        | 13.85 | 180  | 1.0656          |
| 0.2514        | 14.62 | 190  | 1.0422          |
| 0.2357        | 15.38 | 200  | 1.1686          |


### Framework versions

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