qwen1.5b-lora-odoo

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

• Loss: 1.8169

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: 0.0002
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.2106	0.6452	10	3.1188
2.8957	1.2903	20	2.5241
2.3216	1.9355	30	2.0761
1.951	2.5806	40	1.8169

Framework versions

• PEFT 0.13.2
• Transformers 4.45.2
• Pytorch 2.6.0+cu124
• Datasets 4.1.1
• Tokenizers 0.20.3