layai/syn-dataaug-youtube-dict
The layai/syn-dataaug-youtube-dict model is an 8 billion parameter language model fine-tuned from Meta-Llama-3-8B. It was trained on an unspecified dataset, achieving a validation accuracy of 0.4585. This model is a general-purpose language model, with its specific differentiators and intended uses requiring further information.
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Model Overview
The layai/syn-dataaug-youtube-dict model is an 8 billion parameter language model, fine-tuned from the meta-llama/Meta-Llama-3-8B base architecture. The fine-tuning process involved an unknown dataset, and the model achieved a validation accuracy of 0.4585 with a final validation loss of 4.0823 after 3 epochs.
Training Details
The model was trained using the following key hyperparameters:
- Learning Rate: 5e-05
- Batch Size: 40 (train and eval), with a total effective batch size of 160 due to gradient accumulation steps.
- Optimizer: Adam with default betas and epsilon.
- Scheduler: Cosine learning rate scheduler.
- Epochs: 3.0
Current Status and Limitations
As of the current information, specific details regarding the model's intended uses, limitations, and the nature of its training and evaluation data are not yet available. Further information is needed to fully understand its capabilities and optimal application scenarios.