This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the news_finetune_train dataset.
It achieves the following results on the evaluation set:
Loss: 0.1931
Model description
SLM for energy multi-label classification task.
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
