metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: experiments500czephymodel
results: []
experiments500czephymodel
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3252
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: 3e-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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3186 | 0.88 | 50 | 0.2878 |
| 0.2214 | 1.77 | 100 | 0.2463 |
| 0.1555 | 2.65 | 150 | 0.2328 |
| 0.0922 | 3.54 | 200 | 0.2362 |
| 0.0659 | 4.42 | 250 | 0.2527 |
| 0.0373 | 5.31 | 300 | 0.2691 |
| 0.0282 | 6.19 | 350 | 0.2968 |
| 0.0268 | 7.08 | 400 | 0.2900 |
| 0.0251 | 7.96 | 450 | 0.3078 |
| 0.0207 | 8.85 | 500 | 0.3252 |
| 0.0198 | 9.73 | 550 | 0.3269 |
Framework versions
- PEFT 0.11.1
- Transformers 4.36.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.15.2