metadata
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: bert-base-codemixed-uncased-sentiment-hatespeech-multilanguage
results: []
results_6_to_11_with_embedding2
This model is a fine-tuned version of rohanrajpal/bert-base-codemixed-uncased-sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3507
- Accuracy: 0.8759
- Precision: 0.8751
- Recall: 0.8759
- F1: 0.8755
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- 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 |
|---|---|---|---|---|---|---|---|
| 0.3889 | 1.0 | 1460 | 0.3761 | 0.8335 | 0.8484 | 0.8335 | 0.8371 |
| 0.3273 | 2.0 | 2920 | 0.3196 | 0.8542 | 0.8602 | 0.8542 | 0.8561 |
| 0.2955 | 3.0 | 4380 | 0.3116 | 0.8645 | 0.8644 | 0.8645 | 0.8645 |
| 0.27 | 4.0 | 5840 | 0.3014 | 0.8704 | 0.8695 | 0.8704 | 0.8699 |
| 0.2601 | 5.0 | 7300 | 0.3285 | 0.8676 | 0.8714 | 0.8676 | 0.8689 |
| 0.2376 | 6.0 | 8760 | 0.3147 | 0.8726 | 0.8737 | 0.8726 | 0.8731 |
| 0.213 | 7.0 | 10220 | 0.3103 | 0.8699 | 0.8714 | 0.8699 | 0.8706 |
| 0.2013 | 8.0 | 11680 | 0.3424 | 0.8737 | 0.8733 | 0.8737 | 0.8735 |
| 0.192 | 9.0 | 13140 | 0.3398 | 0.8758 | 0.8746 | 0.8758 | 0.8750 |
| 0.1763 | 10.0 | 14600 | 0.3507 | 0.8759 | 0.8751 | 0.8759 | 0.8755 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1