metadata
language:
- ro
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- iulik-pisik/horoscop_neti
metrics:
- wer
model-index:
- name: Whisper Base Romanian - Horoscop Neti
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Horoscop Neti
type: iulik-pisik/horoscop_neti
config: default
split: None
args: 'config: ro, split: test'
metrics:
- name: Wer
type: wer
value: 17.035775127768314
Whisper Base Romanian - Horoscop Neti
This model is a fine-tuned version of openai/whisper-base on the Horoscop Neti dataset. It achieves the following results on the evaluation set:
- Loss: 0.3282
- Wer: 17.0358
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-05
- train_batch_size: 16
- 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
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0142 | 9.71 | 1000 | 0.2707 | 18.0336 |
| 0.0012 | 19.42 | 2000 | 0.3073 | 17.0601 |
| 0.0007 | 29.13 | 3000 | 0.3225 | 17.0114 |
| 0.0005 | 38.83 | 4000 | 0.3282 | 17.0358 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2