legal-greek-roberta-base

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5247

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• distributed_type: tpu
• num_devices: 8
• gradient_accumulation_steps: 4
• total_train_batch_size: 512
• total_eval_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• training_steps: 200000

Training results

Training Loss	Epoch	Step	Validation Loss
0.8724	12.0	50000	0.6730
0.7713	24.0	100000	0.5763
0.7186	36.0	150000	0.5396
0.7152	48.0	200000	0.5247

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu102
• Datasets 2.9.0
• Tokenizers 0.12.0