modernFinBERTLarge2

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

• Loss: 2.5898

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-07
• train_batch_size: 4
• eval_batch_size: 4
• 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
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
2.7102	1.0	5364	2.6690
2.7277	2.0	10728	2.6420
2.6433	3.0	16092	2.5801
2.6457	4.0	21456	2.5898

Framework versions

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