metadata
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: WeniGPT-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT
results: []
WeniGPT-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.4088
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 337
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5761 | 0.83 | 50 | 0.4671 |
| 0.4488 | 1.66 | 100 | 0.4409 |
| 0.4272 | 2.49 | 150 | 0.4293 |
| 0.4145 | 3.32 | 200 | 0.4219 |
| 0.3999 | 4.15 | 250 | 0.4155 |
| 0.3872 | 4.98 | 300 | 0.4088 |
Framework versions
- PEFT 0.7.1
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0