LLama_missing_music_generator
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the generator 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.04
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for ShushantLLM/LLama_missing_music_generator
Base model
meta-llama/Llama-2-7b-hf
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShushantLLM/LLama_missing_music_generator", dtype="auto")