peft safetensors trl sft generated_from_trainer base_model:HuggingFaceH4/zephyr-7b-beta license:mit region:us
---
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
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# 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: 0.7340

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9331        | 0.4   | 10   | 2.3499          |
| 1.8204        | 0.8   | 20   | 1.3074          |
| 1.0645        | 1.2   | 30   | 0.9558          |
| 0.9181        | 1.6   | 40   | 0.8424          |
| 0.8628        | 2.0   | 50   | 0.7672          |
| 0.713         | 2.4   | 60   | 0.7212          |
| 0.7126        | 2.8   | 70   | 0.6701          |
| 0.594         | 3.2   | 80   | 0.6538          |
| 0.5837        | 3.6   | 90   | 0.6244          |
| 0.5894        | 4.0   | 100  | 0.5972          |
| 0.4848        | 4.4   | 110  | 0.6270          |
| 0.4968        | 4.8   | 120  | 0.5959          |
| 0.4858        | 5.2   | 130  | 0.6219          |
| 0.4386        | 5.6   | 140  | 0.6180          |
| 0.4708        | 6.0   | 150  | 0.6219          |
| 0.4155        | 6.4   | 160  | 0.6828          |
| 0.4172        | 6.8   | 170  | 0.6184          |
| 0.3948        | 7.2   | 180  | 0.6742          |
| 0.3676        | 7.6   | 190  | 0.6573          |
| 0.3801        | 8.0   | 200  | 0.6624          |
| 0.3527        | 8.4   | 210  | 0.7313          |
| 0.3507        | 8.8   | 220  | 0.6588          |
| 0.3362        | 9.2   | 230  | 0.7390          |
| 0.3228        | 9.6   | 240  | 0.7091          |
| 0.3306        | 10.0  | 250  | 0.7340          |


### Framework versions

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