metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: muril-base-cased-finetuned-code-mixed-DS
results: []
muril-base-cased-finetuned-code-mixed-DS
This model is a fine-tuned version of google/muril-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0780
- Accuracy: 0.5030
- Precision: 0.3506
- Recall: 0.4661
- F1: 0.3695
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: 32
- 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 |
|---|---|---|---|---|---|---|---|
| 1.0982 | 1.98 | 248 | 1.0974 | 0.1952 | 0.3968 | 0.3371 | 0.1140 |
| 1.0951 | 3.97 | 496 | 1.0909 | 0.4366 | 0.3352 | 0.4386 | 0.3319 |
| 1.0877 | 5.95 | 744 | 1.0837 | 0.4950 | 0.3491 | 0.4680 | 0.3664 |
| 1.0826 | 7.94 | 992 | 1.0798 | 0.5050 | 0.3503 | 0.4673 | 0.3705 |
| 1.0793 | 9.92 | 1240 | 1.0780 | 0.5030 | 0.3506 | 0.4661 | 0.3695 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.10.1+cu111
- Datasets 2.3.2
- Tokenizers 0.12.1