Obeida/aspect-comments-analyzer

models1

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the comment_finetune_train dataset. It achieves the following results on the evaluation set:

• Loss: 0.1252

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: 0.0001
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.1317	0.1639	100	0.1600
0.1605	0.3279	200	0.1548
0.1191	0.4918	300	0.1460
0.1423	0.6557	400	0.1349
0.1065	0.8197	500	0.1266
0.1174	0.9836	600	0.1253

Framework versions

• PEFT 0.15.2
• Transformers 4.48.3
• Pytorch 2.6.0+cu124
• Datasets 3.2.0
• Tokenizers 0.21.1