rubert-tiny2-finetuned-fintech

This model is a fine-tuned version of cointegrated/rubert-tiny2 on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 5.3573

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
5.698	1.0	2069	5.4277
5.5758	2.0	4138	5.3573

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2