pre_train_v3
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the wiki_demo dataset.
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: 8
- 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_steps: 0.3
- num_epochs: 9.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.37.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for kam414/pre_train_v1
Base model
mistralai/Mistral-7B-v0.1
Finetuned
HuggingFaceH4/zephyr-7b-beta