practical-llm/ruadapt_qwen2.5_1.5B_ext_u48_mean_init_libre

trained_model

This model is a fine-tuned version of ruadapt_qwen2.5_1.5B_ext_u48_mean_init on the practical-llm/LiBRE dataset. It achieves the following results on the evaluation set:

• Loss: 3.4314
• Accuracy: 0.4017

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: 0.001
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 16
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.0081	1	7.5085	0.2035

Framework versions

• PEFT 0.9.0
• Transformers 4.45.2
• Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
• Datasets 2.18.0
• Tokenizers 0.20.3