metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: lexical_classifier_bangla_assamese_v2
results: []
lexical_classifier_bangla_assamese_v2
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on [https://huggingface.co/datasets/anrikus/lexical_diff_bangla_assamese_v2]. It achieves the following results on the evaluation set:
- Loss: 1.1317
- Accuracy: 0.7033
- Precision: 0.7480
- Recall: 0.6133
- F1: 0.6740
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: 1e-06
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
---|---|---|---|---|---|---|---|
0.1501 | 1.0 | 35 | 1.0773 | 0.7286 | 0.7302 | 0.6866 | 0.7077 |
0.1789 | 2.0 | 70 | 0.8471 | 0.7714 | 0.7869 | 0.7164 | 0.7500 |
0.1463 | 3.0 | 105 | 1.3021 | 0.7071 | 0.7407 | 0.5970 | 0.6612 |
0.1664 | 4.0 | 140 | 1.1251 | 0.6857 | 0.6825 | 0.6418 | 0.6615 |
0.1746 | 5.0 | 175 | 0.8354 | 0.7214 | 0.7692 | 0.5970 | 0.6723 |
0.2282 | 6.0 | 210 | 1.2394 | 0.6929 | 0.6935 | 0.6418 | 0.6667 |
0.103 | 7.0 | 245 | 1.3935 | 0.6857 | 0.6769 | 0.6567 | 0.6667 |
0.186 | 8.0 | 280 | 1.1753 | 0.7 | 0.6812 | 0.7015 | 0.6912 |
0.2189 | 9.0 | 315 | 1.1819 | 0.6929 | 0.7069 | 0.6119 | 0.6560 |
0.1476 | 10.0 | 350 | 1.4722 | 0.65 | 0.65 | 0.5821 | 0.6142 |
0.2055 | 11.0 | 385 | 0.7656 | 0.7571 | 0.7895 | 0.6716 | 0.7258 |
0.1607 | 12.0 | 420 | 0.9756 | 0.7071 | 0.76 | 0.5672 | 0.6496 |
0.1532 | 13.0 | 455 | 0.9945 | 0.7071 | 0.7031 | 0.6716 | 0.6870 |
0.1023 | 14.0 | 490 | 1.1967 | 0.7071 | 0.7031 | 0.6716 | 0.6870 |
0.2389 | 15.0 | 525 | 0.7984 | 0.7643 | 0.7742 | 0.7164 | 0.7442 |
0.1925 | 16.0 | 560 | 0.9343 | 0.7143 | 0.7368 | 0.6269 | 0.6774 |
0.2038 | 17.0 | 595 | 1.1440 | 0.6857 | 0.6949 | 0.6119 | 0.6508 |
0.2193 | 18.0 | 630 | 0.9709 | 0.7071 | 0.7167 | 0.6418 | 0.6772 |
0.1719 | 19.0 | 665 | 0.9007 | 0.7429 | 0.7818 | 0.6418 | 0.7049 |
0.2334 | 20.0 | 700 | 0.8711 | 0.7429 | 0.7818 | 0.6418 | 0.7049 |
0.131 | 21.0 | 735 | 1.0785 | 0.7143 | 0.7288 | 0.6418 | 0.6825 |
0.2316 | 22.0 | 770 | 1.1080 | 0.6643 | 0.6786 | 0.5672 | 0.6179 |
0.1815 | 23.0 | 805 | 1.2657 | 0.6929 | 0.7308 | 0.5672 | 0.6387 |
0.1521 | 24.0 | 840 | 1.2584 | 0.7 | 0.6812 | 0.7015 | 0.6912 |
0.244 | 25.0 | 875 | 1.0375 | 0.7786 | 0.7812 | 0.7463 | 0.7634 |
0.3668 | 26.0 | 910 | 1.1253 | 0.7286 | 0.7458 | 0.6567 | 0.6984 |
0.1564 | 27.0 | 945 | 0.9891 | 0.7214 | 0.7414 | 0.6418 | 0.688 |
0.1782 | 28.0 | 980 | 0.9936 | 0.7357 | 0.75 | 0.6716 | 0.7087 |
0.1945 | 29.0 | 1015 | 0.9586 | 0.7357 | 0.7419 | 0.6866 | 0.7132 |
0.271 | 30.0 | 1050 | 0.8128 | 0.7357 | 0.7778 | 0.6269 | 0.6942 |
0.1889 | 31.0 | 1085 | 1.2141 | 0.6714 | 0.7059 | 0.5373 | 0.6102 |
0.1928 | 32.0 | 1120 | 1.0059 | 0.7143 | 0.7368 | 0.6269 | 0.6774 |
0.2035 | 33.0 | 1155 | 1.1185 | 0.6929 | 0.7069 | 0.6119 | 0.6560 |
0.226 | 34.0 | 1190 | 1.1719 | 0.6286 | 0.6271 | 0.5522 | 0.5873 |
0.1801 | 35.0 | 1225 | 1.1689 | 0.6786 | 0.6719 | 0.6418 | 0.6565 |
0.2353 | 36.0 | 1260 | 1.1392 | 0.7 | 0.6923 | 0.6716 | 0.6818 |
0.1686 | 37.0 | 1295 | 1.2064 | 0.6429 | 0.6667 | 0.5075 | 0.5763 |
0.2278 | 38.0 | 1330 | 0.8528 | 0.75 | 0.7759 | 0.6716 | 0.7200 |
0.1905 | 39.0 | 1365 | 1.2736 | 0.6643 | 0.6786 | 0.5672 | 0.6179 |
0.2136 | 40.0 | 1400 | 1.0255 | 0.7214 | 0.7333 | 0.6567 | 0.6929 |
0.1544 | 41.0 | 1435 | 0.9427 | 0.7214 | 0.7333 | 0.6567 | 0.6929 |
0.2691 | 42.0 | 1470 | 1.0433 | 0.7286 | 0.7544 | 0.6418 | 0.6935 |
0.2804 | 43.0 | 1505 | 1.2006 | 0.6929 | 0.7143 | 0.5970 | 0.6504 |
0.2345 | 44.0 | 1540 | 0.9487 | 0.75 | 0.7857 | 0.6567 | 0.7154 |
0.2541 | 45.0 | 1575 | 0.9468 | 0.7429 | 0.7246 | 0.7463 | 0.7353 |
0.2718 | 46.0 | 1610 | 1.3955 | 0.6714 | 0.6909 | 0.5672 | 0.6230 |
0.3179 | 47.0 | 1645 | 1.3356 | 0.6786 | 0.7037 | 0.5672 | 0.6281 |
0.4808 | 48.0 | 1680 | 0.9297 | 0.7429 | 0.7719 | 0.6567 | 0.7097 |
0.3231 | 49.0 | 1715 | 0.8732 | 0.7429 | 0.7818 | 0.6418 | 0.7049 |
0.3681 | 50.0 | 1750 | 1.0578 | 0.6857 | 0.7255 | 0.5522 | 0.6271 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1