nadika's picture
Upload tokenizer
0ffd85c verified
|
raw
history blame
2.3 kB
metadata
license: apache-2.0
tags:
  - generated_from_trainer
base_model: google/muril-base-cased
model-index:
  - name: nepali_complaints_classification_muril3
    results: []

nepali_complaints_classification_muril3

This model is a fine-tuned version of google/muril-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2575

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: 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_steps: 50
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
2.3973 0.25 500 2.0247
1.7073 0.5 1000 1.3814
1.1586 0.75 1500 0.9054
0.8099 1.0 2000 0.6431
0.5456 1.25 2500 0.4845
0.434 1.5 3000 0.4157
0.3643 1.75 3500 0.3814
0.3144 2.01 4000 0.3432
0.2616 2.26 4500 0.3156
0.2418 2.51 5000 0.2952
0.2256 2.76 5500 0.2805
0.2157 3.01 6000 0.2908
0.1749 3.26 6500 0.2847
0.1626 3.51 7000 0.2734
0.1522 3.76 7500 0.2658
0.1443 4.01 8000 0.2560
0.1196 4.26 8500 0.2580
0.1138 4.51 9000 0.2618
0.1119 4.76 9500 0.2575

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2