5913ee49-b4ad-4860-950d-b270efbe09e6

This model is a fine-tuned version of unsloth/Qwen2-7B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2975

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: 0.000214
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• 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	0.0009	1	0.5409
0.0078	0.0438	50	0.4161
0.0034	0.0875	100	0.3779
0.0016	0.1313	150	0.3774
0.0008	0.1751	200	0.3608
0.0006	0.2188	250	0.3469
0.0025	0.2626	300	0.3272
0.0018	0.3063	350	0.3144
0.0004	0.3501	400	0.3014
0.0002	0.3939	450	0.2985
0.0007	0.4376	500	0.2975

Framework versions

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