---
base_model: HuggingFaceH4/zephyr-7b-beta
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: experiments500czephymodel_v4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# experiments500czephymodel_v4

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2749

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3561        | 1.0   | 50   | 0.3625          |
| 0.2785        | 2.0   | 100  | 0.3014          |
| 0.1976        | 3.0   | 150  | 0.2770          |
| 0.1583        | 4.0   | 200  | 0.2718          |
| 0.1064        | 5.0   | 250  | 0.2785          |
| 0.0787        | 6.0   | 300  | 0.2934          |
| 0.0523        | 7.0   | 350  | 0.3087          |
| 0.0447        | 8.0   | 400  | 0.3199          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.36.0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2