metadata
library_name: transformers
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
model-index:
- name: working
results: []
working
This model is a fine-tuned version of csebuetnlp/banglat5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0912
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: 0.001
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 100
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 39.4442 | 1.0540 | 100 | 0.5396 |
| 0.6861 | 2.1080 | 200 | 0.3455 |
| 0.4661 | 3.1621 | 300 | 0.3372 |
| 0.4512 | 4.2161 | 400 | 0.3265 |
| 0.4309 | 5.2701 | 500 | 0.3141 |
| 0.4114 | 6.3241 | 600 | 0.2886 |
| 0.3679 | 7.3781 | 700 | 0.1776 |
| 0.208 | 8.4321 | 800 | 0.1162 |
| 0.4885 | 9.4862 | 900 | 0.1208 |
| 0.137 | 10.5402 | 1000 | 0.1012 |
| 0.1013 | 11.5942 | 1100 | 0.0948 |
| 0.0838 | 12.6482 | 1200 | 0.0894 |
| 0.0704 | 13.7022 | 1300 | 0.0878 |
| 0.0618 | 14.7563 | 1400 | 0.0902 |
| 0.0546 | 15.8103 | 1500 | 0.0880 |
| 0.049 | 16.8643 | 1600 | 0.0901 |
| 0.0443 | 17.9183 | 1700 | 0.0900 |
| 0.0417 | 18.9723 | 1800 | 0.0905 |
| 0.0396 | 20.0264 | 1900 | 0.0909 |
| 0.0373 | 21.0804 | 2000 | 0.0909 |
| 0.0369 | 22.1344 | 2100 | 0.0913 |
| 0.0358 | 23.1884 | 2200 | 0.0911 |
| 0.0356 | 24.2424 | 2300 | 0.0912 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1