qwen2.5-finetuned

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.2505

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: 0.0003
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.3385	0.2036	50	1.3350
1.2785	0.4072	100	1.2864
1.2603	0.6108	150	1.2636
1.245	0.8144	200	1.2505

Framework versions

• PEFT 0.13.0
• Transformers 4.45.1
• Pytorch 2.4.1
• Datasets 2.19.1
• Tokenizers 0.20.0