bart-base-bodo
This model is a fine-tuned version of facebook/bart-large on the Mwnthai/bodo-legal-summary-data dataset. It achieves the following results on the evaluation set:
- Loss: 7.4122
- Accuracy: 0.0400
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.48.3
- Pytorch 2.0.1+cu117
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 2
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for Mwnthai/bart-base-bodo
Base model
facebook/bart-largeEvaluation results
- Accuracy on Mwnthai/bodo-legal-summary-dataself-reported0.040
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Mwnthai/bart-base-bodo") model = AutoModelForSeq2SeqLM.from_pretrained("Mwnthai/bart-base-bodo")