---
license: apache-2.0
base_model: neuropark/sahajBERT
tags:
- generated_from_trainer
model-index:
- name: shahajbert_nwp_finetuning_test4
  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. -->

# shahajbert_nwp_finetuning_test4

This model is a fine-tuned version of [neuropark/sahajBERT](https://huggingface.co/neuropark/sahajBERT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3512

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| No log        | 1.0   | 442   | 3.5414          |
| 3.5816        | 2.0   | 884   | 3.6077          |
| 3.3982        | 3.0   | 1326  | 3.4116          |
| 3.2805        | 4.0   | 1768  | 3.4087          |
| 3.1704        | 5.0   | 2210  | 3.2837          |
| 3.1138        | 6.0   | 2652  | 3.3092          |
| 3.0029        | 7.0   | 3094  | 3.3947          |
| 2.9647        | 8.0   | 3536  | 3.3681          |
| 2.9647        | 9.0   | 3978  | 3.3163          |
| 2.905         | 10.0  | 4420  | 3.3362          |
| 2.8483        | 11.0  | 4862  | 3.3709          |
| 2.7664        | 12.0  | 5304  | 3.2465          |
| 2.7149        | 13.0  | 5746  | 3.2881          |
| 2.7167        | 14.0  | 6188  | 3.2806          |
| 2.6327        | 15.0  | 6630  | 3.2336          |
| 2.5984        | 16.0  | 7072  | 3.2800          |
| 2.5561        | 17.0  | 7514  | 3.3218          |
| 2.5561        | 18.0  | 7956  | 3.2904          |
| 2.5021        | 19.0  | 8398  | 3.2421          |
| 2.4415        | 20.0  | 8840  | 3.2416          |
| 2.4228        | 21.0  | 9282  | 3.2291          |
| 2.3859        | 22.0  | 9724  | 3.2795          |
| 2.3504        | 23.0  | 10166 | 3.2575          |
| 2.2906        | 24.0  | 10608 | 3.2737          |
| 2.2716        | 25.0  | 11050 | 3.3618          |
| 2.2716        | 26.0  | 11492 | 3.2623          |
| 2.2671        | 27.0  | 11934 | 3.2853          |
| 2.2169        | 28.0  | 12376 | 3.3880          |
| 2.2031        | 29.0  | 12818 | 3.4195          |
| 2.1467        | 30.0  | 13260 | 3.3009          |
| 2.139         | 31.0  | 13702 | 3.3603          |
| 2.1133        | 32.0  | 14144 | 3.2665          |
| 2.0534        | 33.0  | 14586 | 3.4353          |
| 2.077         | 34.0  | 15028 | 3.3433          |
| 2.077         | 35.0  | 15470 | 3.3460          |
| 2.0511        | 36.0  | 15912 | 3.3844          |
| 2.0123        | 37.0  | 16354 | 3.2761          |
| 1.9915        | 38.0  | 16796 | 3.4099          |
| 1.975         | 39.0  | 17238 | 3.3159          |
| 1.9539        | 40.0  | 17680 | 3.3269          |
| 1.9193        | 41.0  | 18122 | 3.3377          |
| 1.9181        | 42.0  | 18564 | 3.4188          |
| 1.9071        | 43.0  | 19006 | 3.4064          |
| 1.9071        | 44.0  | 19448 | 3.1825          |
| 1.8729        | 45.0  | 19890 | 3.3935          |
| 1.877         | 46.0  | 20332 | 3.3168          |
| 1.8656        | 47.0  | 20774 | 3.3597          |
| 1.8549        | 48.0  | 21216 | 3.2954          |
| 1.8614        | 49.0  | 21658 | 3.3801          |
| 1.8642        | 50.0  | 22100 | 3.3173          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3