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
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Dataset used to train alayaran/bodo-gpt2-clm-setencepiece
Evaluation results
- Accuracy on alayaran/bodo-monolingual-datasetself-reported0.024