transformers tensorboard safetensors electra fill-mask generated_from_trainer base_model:csebuetnlp/banglabert autotrain_compatible endpoints_compatible region:us
---
base_model: csebuetnlp/banglabert
tags:
- generated_from_trainer
model-index:
- name: Banglabert_nwp_finetuning_def_v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Banglabert_nwp_finetuning_def_v2

This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co/csebuetnlp/banglabert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5135

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 5.9985        | 1.0   | 2487   | 5.4179          |
| 5.1899        | 2.0   | 4974   | 4.8725          |
| 4.8308        | 3.0   | 7461   | 4.6051          |
| 4.6303        | 4.0   | 9948   | 4.4425          |
| 4.4543        | 5.0   | 12435  | 4.3072          |
| 4.2875        | 6.0   | 14922  | 4.2110          |
| 4.2355        | 7.0   | 17409  | 4.1004          |
| 4.1108        | 8.0   | 19896  | 4.0693          |
| 4.0311        | 9.0   | 22383  | 3.9807          |
| 3.9836        | 10.0  | 24870  | 3.9329          |
| 3.9049        | 11.0  | 27357  | 3.9332          |
| 3.8663        | 12.0  | 29844  | 3.9027          |
| 3.7633        | 13.0  | 32331  | 3.8750          |
| 3.7639        | 14.0  | 34818  | 3.7487          |
| 3.6831        | 15.0  | 37305  | 3.7775          |
| 3.6808        | 16.0  | 39792  | 3.7372          |
| 3.6136        | 17.0  | 42279  | 3.7313          |
| 3.5998        | 18.0  | 44766  | 3.6778          |
| 3.531         | 19.0  | 47253  | 3.6912          |
| 3.5361        | 20.0  | 49740  | 3.6869          |
| 3.509         | 21.0  | 52227  | 3.6790          |
| 3.4625        | 22.0  | 54714  | 3.6425          |
| 3.418         | 23.0  | 57201  | 3.6572          |
| 3.369         | 24.0  | 59688  | 3.6407          |
| 3.3832        | 25.0  | 62175  | 3.6278          |
| 3.3728        | 26.0  | 64662  | 3.5715          |
| 3.3304        | 27.0  | 67149  | 3.6413          |
| 3.2864        | 28.0  | 69636  | 3.5743          |
| 3.3057        | 29.0  | 72123  | 3.5227          |
| 3.2916        | 30.0  | 74610  | 3.5448          |
| 3.2541        | 31.0  | 77097  | 3.5422          |
| 3.2293        | 32.0  | 79584  | 3.5775          |
| 3.1839        | 33.0  | 82071  | 3.5705          |
| 3.2106        | 34.0  | 84558  | 3.5680          |
| 3.185         | 35.0  | 87045  | 3.5225          |
| 3.1845        | 36.0  | 89532  | 3.5237          |
| 3.1581        | 37.0  | 92019  | 3.5300          |
| 3.1569        | 38.0  | 94506  | 3.5081          |
| 3.1222        | 39.0  | 96993  | 3.5217          |
| 3.1007        | 40.0  | 99480  | 3.4810          |
| 3.1094        | 41.0  | 101967 | 3.5475          |
| 3.1289        | 42.0  | 104454 | 3.5126          |
| 3.0841        | 43.0  | 106941 | 3.5076          |
| 3.0834        | 44.0  | 109428 | 3.5101          |
| 3.0862        | 45.0  | 111915 | 3.4777          |
| 3.0843        | 46.0  | 114402 | 3.5116          |
| 3.042         | 47.0  | 116889 | 3.5031          |
| 3.0424        | 48.0  | 119376 | 3.4991          |
| 3.0855        | 49.0  | 121863 | 3.5203          |
| 3.0325        | 50.0  | 124350 | 3.5110          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
