targeted_baseline_v3_no_hs

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.9541
• Accuracy Targeted: 0.6259
• F1 Macro Targeted: 0.5357
• F1 Weighted Targeted: 0.5554
• F1 Macro Total: 0.5357
• F1 Weighted Total: 0.5554

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: 6e-06
• train_batch_size: 4
• eval_batch_size: 4
• seed: 1337
• 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: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy Targeted	F1 Macro Targeted	F1 Weighted Targeted	F1 Macro Total	F1 Weighted Total
No log	1.0	45	0.6786	0.4519	0.3112	0.2813	0.3112	0.2813
No log	2.0	90	0.7143	0.5481	0.3541	0.3882	0.3541	0.3882
No log	3.0	135	0.7534	0.5481	0.3541	0.3882	0.3541	0.3882
No log	4.0	180	0.8283	0.5481	0.3541	0.3882	0.3541	0.3882
No log	5.0	225	0.9085	0.5519	0.3630	0.3964	0.3630	0.3964
No log	6.0	270	0.9082	0.6222	0.5292	0.5494	0.5292	0.5494
No log	7.0	315	0.9541	0.6259	0.5357	0.5554	0.5357	0.5554
No log	8.0	360	1.1943	0.5852	0.4442	0.4711	0.4442	0.4711
No log	9.0	405	1.3552	0.5704	0.4061	0.4362	0.4061	0.4362
No log	10.0	450	1.3356	0.6074	0.4981	0.5207	0.4981	0.5207
No log	11.0	495	1.3556	0.6185	0.5265	0.5466	0.5265	0.5466
0.4882	12.0	540	1.5875	0.5926	0.4646	0.4898	0.4646	0.4898

Framework versions

• Transformers 4.50.2
• Pytorch 2.6.0+cu124
• Datasets 3.0.1
• Tokenizers 0.21.1