WeniGPT-2.0.1-Zephyr-7B-bits_and_bytes-llm-base
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: 0.3610
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4038 | 1.53 | 500 | 0.3728 |
| 0.3482 | 3.07 | 1000 | 0.3628 |
| 0.3266 | 4.6 | 1500 | 0.3610 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1+cu118
- Datasets 2.16.0
- Tokenizers 0.15.0
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Model tree for Weni/WeniGPT-2.0.1-Zephyr-7B-bits_and_bytes-dataset-llm-base-1.0.1
Base model
mistralai/Mistral-7B-v0.1
Finetuned
HuggingFaceH4/zephyr-7b-beta