3ee349ea-a42b-4ba1-9eca-0cb04a55a667

This model is a fine-tuned version of katuni4ka/tiny-random-qwen1.5-moe on the None dataset. It achieves the following results on the evaluation set:

• Loss: 11.7920

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: 0.000211
• train_batch_size: 4
• eval_batch_size: 4
• seed: 110
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0002	1	11.9334
11.8775	0.0082	50	11.8840
11.8536	0.0163	100	11.8639
11.8233	0.0245	150	11.8314
11.8236	0.0327	200	11.8154
11.8038	0.0408	250	11.8065
11.7963	0.0490	300	11.7977
11.8009	0.0572	350	11.7945
11.7954	0.0653	400	11.7928
11.7993	0.0735	450	11.7921
11.7991	0.0817	500	11.7920

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1