metadata
library_name: transformers
language:
- ne
license: mit
base_model: facebook/w2v-bert-2.0
tags:
- generated_from_trainer
datasets:
- kiranpantha/OpenSLR54-Balanced-Nepali
metrics:
- wer
model-index:
- name: Wave2Vec2-Bert2.0 - Kiran Pantha
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: OpenSLR54
type: kiranpantha/OpenSLR54-Balanced-Nepali
config: default
split: test
args: 'config: ne, split: train,test'
metrics:
- name: Wer
type: wer
value: 0.2604166666666667
Wave2Vec2-Bert2.0 - Kiran Pantha
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the OpenSLR54 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2182
- Wer: 0.2604
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: 5e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.4889 | 0.1800 | 300 | 0.8423 | 0.8076 |
| 0.7028 | 0.3599 | 600 | 0.6309 | 0.5951 |
| 0.5787 | 0.5399 | 900 | 0.5455 | 0.5167 |
| 0.476 | 0.7199 | 1200 | 0.4670 | 0.5109 |
| 0.4094 | 0.8998 | 1500 | 0.4415 | 0.4382 |
| 0.3345 | 1.0798 | 1800 | 0.3395 | 0.3951 |
| 0.2545 | 1.2597 | 2100 | 0.3266 | 0.3609 |
| 0.2444 | 1.4397 | 2400 | 0.2814 | 0.3204 |
| 0.2214 | 1.6197 | 2700 | 0.2593 | 0.2947 |
| 0.1846 | 1.7996 | 3000 | 0.2256 | 0.2685 |
| 0.1783 | 1.9796 | 3300 | 0.2182 | 0.2604 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1