targeted_baseline_v3

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

• Loss: 1.1076
• Accuracy Targeted: 0.6296
• F1 Macro Targeted: 0.5493
• F1 Weighted Targeted: 0.5676
• F1 Macro Total: 0.5493
• F1 Weighted Total: 0.5676

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	0.6826	0.4519	0.3112	0.2813	0.3112	0.2813
No log	2.0	90	0.6975	0.5481	0.3541	0.3882	0.3541	0.3882
No log	3.0	135	0.7052	0.5481	0.3541	0.3882	0.3541	0.3882
No log	4.0	180	0.7244	0.5481	0.3541	0.3882	0.3541	0.3882
No log	5.0	225	0.7422	0.5481	0.3541	0.3882	0.3541	0.3882
No log	6.0	270	0.7541	0.5481	0.3541	0.3882	0.3541	0.3882
No log	7.0	315	0.7346	0.5556	0.3719	0.4046	0.3719	0.4046
No log	8.0	360	0.8135	0.5630	0.3892	0.4206	0.3892	0.4206
No log	9.0	405	0.8147	0.5926	0.4646	0.4898	0.4646	0.4898
No log	10.0	450	0.8904	0.5778	0.4225	0.4513	0.4225	0.4513
No log	11.0	495	0.9292	0.5741	0.4264	0.4544	0.4264	0.4544
0.632	12.0	540	0.9412	0.5926	0.4881	0.5103	0.4881	0.5103
0.632	13.0	585	0.9978	0.5889	0.4673	0.4918	0.4673	0.4918
0.632	14.0	630	1.1020	0.5741	0.4264	0.4544	0.4264	0.4544
0.632	15.0	675	1.0806	0.5926	0.4837	0.5065	0.4837	0.5065
0.632	16.0	720	1.2255	0.5778	0.4285	0.4566	0.4285	0.4566
0.632	17.0	765	1.1076	0.6296	0.5493	0.5676	0.5493	0.5676
0.632	18.0	810	1.1627	0.6296	0.5458	0.5646	0.5458	0.5646
0.632	19.0	855	1.3126	0.5926	0.4696	0.4942	0.4696	0.4942
0.632	20.0	900	1.3914	0.5889	0.4623	0.4874	0.4623	0.4874
0.632	21.0	945	1.3736	0.6111	0.5050	0.5271	0.5050	0.5271
0.632	22.0	990	1.4834	0.5889	0.4519	0.4782	0.4519	0.4782

Framework versions

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