outputs
This model is a fine-tuned version of unsloth/orpheus-3b-0.1-ft on an unknown 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 500
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Downloads last month
- 233
Hardware compatibility
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Model tree for prajwalJumde/outputs
Base model
meta-llama/Llama-3.2-3B-Instruct
Finetuned
canopylabs/orpheus-3b-0.1-pretrained
Finetuned
canopylabs/orpheus-3b-0.1-ft
Finetuned
unsloth/orpheus-3b-0.1-ft