--- base_model: openai/whisper-tiny license: apache-2.0 metrics: - wer tags: - generated_from_trainer model-index: - name: whisper-tinyfinacial results: [] --- # whisper-tinyfinacial This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.5217 - Wer: 55.6180 ## 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: 1.35e-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: 100 - training_steps: 600 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:-------:| | No log | 0.4 | 50 | 0.9091 | 64.0449 | | No log | 0.8 | 100 | 0.6941 | 52.2472 | | No log | 1.2 | 150 | 0.5615 | 51.6854 | | No log | 1.6 | 200 | 0.5219 | 47.1910 | | No log | 2.0 | 250 | 0.4938 | 47.7528 | | No log | 2.4 | 300 | 0.4970 | 50.0 | | No log | 2.8 | 350 | 0.4999 | 58.4270 | | No log | 3.2 | 400 | 0.5076 | 46.0674 | | No log | 3.6 | 450 | 0.5157 | 52.2472 | | 0.3104 | 4.0 | 500 | 0.5277 | 56.1798 | | 0.3104 | 4.4 | 550 | 0.5257 | 57.3034 | | 0.3104 | 4.8 | 600 | 0.5217 | 55.6180 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1