usclm-phi-mk1
This model is a fine-tuned version of on the hyperdemocracy/usc-llm-text dataset. It achieves the following results on the evaluation set:
- Loss: 2.4198
- Accuracy: 0.5483
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Dataset used to train hyperdemocracy/usclm-phi-mk1
Evaluation results
- Accuracy on hyperdemocracy/usc-llm-textself-reported0.548