metadata
base_model: HuggingFaceH4/zephyr-7b-beta
library_name: peft
license: mit
tags:
- generated_from_trainer
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: 0.2640
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3153 | 1.0 | 50 | 0.2975 |
| 0.2205 | 2.0 | 100 | 0.2582 |
| 0.1677 | 3.0 | 150 | 0.2417 |
| 0.1077 | 4.0 | 200 | 0.2481 |
| 0.0901 | 5.0 | 250 | 0.2588 |
Framework versions
- PEFT 0.11.1
- Transformers 4.36.0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2