--- language: - ro license: apache-2.0 base_model: openai/whisper-small tags: - hf-asr-leaderboard - generated_from_trainer metrics: - wer model-index: - name: Whisper Small Ro - VM6 results: [] --- # Whisper Small Ro - VM6 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.9801 - Wer: 44.7801 ## 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: 150 - training_steps: 4000 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 0.05 | 3.69 | 1000 | 0.8344 | 50.6543 | | 0.0077 | 7.38 | 2000 | 0.9303 | 44.9572 | | 0.0043 | 11.07 | 3000 | 0.9479 | 48.7848 | | 0.0008 | 14.76 | 4000 | 0.9801 | 44.7801 | ### Framework versions - Transformers 4.32.0.dev0 - Pytorch 2.1.0+cu118 - Datasets 2.12.0 - Tokenizers 0.13.3