metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: indic-bert-finetuned-non-code-mixed-DS
results: []
indic-bert-finetuned-non-code-mixed-DS
This model is a fine-tuned version of ai4bharat/indic-bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0225
- Accuracy: 0.4552
- Precision: 0.4180
- Recall: 0.4184
- F1: 0.3269
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: 1e-06
- train_batch_size: 32
- eval_batch_size: 16
- seed: 43
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.0699 | 3.99 | 926 | 1.0436 | 0.3937 | 0.4142 | 0.3685 | 0.2449 |
| 1.0239 | 7.98 | 1852 | 1.0225 | 0.4552 | 0.4180 | 0.4184 | 0.3269 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.10.1+cu111
- Datasets 2.3.2
- Tokenizers 0.12.1