bodo-gpt2-clm-setencepiece

This model is a fine-tuned version of alayaran/bodo-gpt2-clm-setencepiece on the alayaran/bodo-monolingual-dataset dataset. It achieves the following results on the evaluation set:

• Loss: 8.4768
• Accuracy: 0.0240

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: 0.005
• train_batch_size: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 20.0

Training results

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.13.3