ruadapt_qwen2.5_3B_ext_u48_full_lr5e4_peft_bs256

This model is a fine-tuned version of RefalMachine/ruadapt_qwen2.5_3B_ext_u48_mean_init on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.3657
• Accuracy: 0.5115

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: 0.0005
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 64
• gradient_accumulation_steps: 2
• total_train_batch_size: 256
• total_eval_batch_size: 128
• 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	0.0001	1	5.8817	0.3107
2.556	0.1765	2000	2.4191	0.5046
2.5196	0.3531	4000	2.3900	0.5084
2.4919	0.5296	6000	2.3754	0.5103
2.4884	0.7062	8000	2.3676	0.5112
2.4865	0.8827	10000	2.3658	0.5115

Framework versions

• PEFT 0.9.0
• Transformers 4.45.2
• Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
• Datasets 2.18.0
• Tokenizers 0.20.1