| license: mit | |
| base_model: alayaran/bodo-roberta-base-sentencepiece-mlm | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - alayaran/bodo-monolingual-dataset | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: bodo-roberta-base-sentencepiece-mlm | |
| results: | |
| - task: | |
| name: Masked Language Modeling | |
| type: fill-mask | |
| dataset: | |
| name: alayaran/bodo-monolingual-dataset | |
| type: alayaran/bodo-monolingual-dataset | |
| metrics: | |
| - name: Accuracy | |
| type: accuracy | |
| value: 0.1152087425920729 | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # bodo-roberta-base-sentencepiece-mlm | |
| This model is a fine-tuned version of [alayaran/bodo-roberta-base-sentencepiece-mlm](https://huggingface.co/alayaran/bodo-roberta-base-sentencepiece-mlm) on the alayaran/bodo-monolingual-dataset dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 7.6855 | |
| - Accuracy: 0.1152 | |
| ## 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: 0.0003 | |
| - train_batch_size: 96 | |
| - eval_batch_size: 96 | |
| - 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: 18.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.34.0.dev0 | |
| - Pytorch 2.0.1+cu117 | |
| - Datasets 2.14.5 | |
| - Tokenizers 0.13.3 | |