|
--- |
|
license: cc-by-4.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- precision |
|
- recall |
|
- f1 |
|
model-index: |
|
- name: hing-roberta-finetuned-code-mixed-DS |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# hing-roberta-finetuned-code-mixed-DS |
|
|
|
This model is a fine-tuned version of [l3cube-pune/hing-roberta](https://huggingface.co/l3cube-pune/hing-roberta) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8512 |
|
- Accuracy: 0.7706 |
|
- Precision: 0.7217 |
|
- Recall: 0.7233 |
|
- F1: 0.7222 |
|
|
|
## 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: 4.932923543227153e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 16 |
|
- seed: 43 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
|
| 1.0216 | 1.0 | 497 | 1.1363 | 0.5392 | 0.4228 | 0.3512 | 0.2876 | |
|
| 0.9085 | 2.0 | 994 | 0.7599 | 0.6761 | 0.6247 | 0.6294 | 0.5902 | |
|
| 0.676 | 3.0 | 1491 | 0.7415 | 0.7505 | 0.6946 | 0.7034 | 0.6983 | |
|
| 0.4404 | 4.0 | 1988 | 0.8512 | 0.7706 | 0.7217 | 0.7233 | 0.7222 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.20.1 |
|
- Pytorch 1.10.1+cu111 |
|
- Datasets 2.3.2 |
|
- Tokenizers 0.12.1 |
|
|
