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---
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
should probably proofread and complete it, then remove this comment. -->
# 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 |