gut_1024-finetuned-lora-bert-large-t2t

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gut_1024-finetuned-lora-bert-large-t2t

This model is a fine-tuned version of AIRI-Institute/gena-lm-bert-large-t2t on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4378
• F1: 0.8676
• Mcc Score: 0.6476
• Accuracy: 0.8315

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: 0.0005
• train_batch_size: 8
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 1000

Training results

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2