modernFinBERTo2-Large_2.0

This model is a fine-tuned version of blepine/modernFinBERTLarge2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.4427
• Accuracy: 0.2905
• F1: 0.2775

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: 9e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
2.9283	1.0	744	2.7684	0.2829	0.2425
2.1264	2.0	1488	2.4368	0.3041	0.2825
1.5815	3.0	2232	2.4427	0.2905	0.2775

Framework versions

• Transformers 4.48.0.dev0
• Pytorch 2.5.0+cu124
• Datasets 3.1.0
• Tokenizers 0.21.0