metadata
library_name: transformers
tags:
- whisper-event
- hf-asr-leaderboard
license: mit
datasets:
- mozilla-foundation/common_voice_16_1
language:
- mn
pipeline_tag: automatic-speech-recognition
Model Card for Model ID
GPU - A100-80GB
Model Details
This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset.
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: Ankhbayasgalan Davaadorj
- Model type: Whisper
- Language(s) (NLP): [More Information Needed]
- License: [More Information Needed]
- Finetuned from model: openai/whisper-large-v3
Training Hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-03
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adafactor
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4856 | 1.97 | 1000 | 0.496397 |
| 0.1312 | 3.94 | 2000 | 0.395565 |
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: A100 80GB
- Hours used: 1:07:08 hours
Model Card Authors
@Ankhbayasgalan davaadorj