|
--- |
|
license: mit |
|
base_model: xlm-roberta-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: Bangla_multiclass_sentiment_analysis_model |
|
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. --> |
|
|
|
# Bangla_multiclass_sentiment_analysis_model |
|
|
|
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2648 |
|
- F1: 0.9309 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| No log | 0.26 | 200 | 0.5353 | 0.7972 | |
|
| No log | 0.51 | 400 | 0.3261 | 0.8800 | |
|
| 0.5223 | 0.77 | 600 | 0.3222 | 0.8979 | |
|
| 0.5223 | 1.03 | 800 | 0.2646 | 0.9170 | |
|
| 0.2984 | 1.28 | 1000 | 0.2915 | 0.9028 | |
|
| 0.2984 | 1.54 | 1200 | 0.2432 | 0.9234 | |
|
| 0.2984 | 1.8 | 1400 | 0.2504 | 0.9209 | |
|
| 0.2514 | 2.05 | 1600 | 0.2341 | 0.9246 | |
|
| 0.2514 | 2.31 | 1800 | 0.2714 | 0.9237 | |
|
| 0.1895 | 2.57 | 2000 | 0.2537 | 0.9269 | |
|
| 0.1895 | 2.82 | 2200 | 0.2648 | 0.9309 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
|
|
