3adapter_ronbackbone_2_task

This model is a fine-tuned version of RonTon05/model_content_V2_test on the None dataset. It achieves the following results on the evaluation set:

• Acc Classification: 0.8229
• F1 Classification: 0.7802
• Acc Content: 0.9692
• F1 Content: 0.9474
• Loss: 0.3420

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: 2e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• 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: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Acc Classification	F1 Classification	Acc Content	F1 Content	Validation Loss
No log	1.0	276	0.7814	0.6988	0.9612	0.9345	0.4392
0.5301	2.0	552	0.8061	0.7603	0.9626	0.9367	0.3629
0.5301	3.0	828	0.8145	0.7695	0.9671	0.9439	0.3474
0.2514	4.0	1104	0.8231	0.7821	0.9689	0.9470	0.3383
0.2514	5.0	1380	0.8229	0.7802	0.9692	0.9474	0.3420

Framework versions

• Transformers 4.57.1
• Pytorch 2.6.0+cu124
• Datasets 4.4.1
• Tokenizers 0.22.1