metadata
license: cc-by-4.0
base_model: l3cube-pune/marathi-bert-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: mbert1
results: []
mbert1
This model is a fine-tuned version of l3cube-pune/marathi-bert-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6264
- Accuracy: 0.8422
- Precision: 0.8435
- Recall: 0.8422
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1