Swahili Distill Smoke 20260709 152928

--- library_name: transformers license: apache-2.0 base_model: openai/whisper-tiny tags: - generated_from_trainer metrics: - wer model-index: - name: swahili-distill_smoke-20260709-152928 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # swahili-distill_smoke-20260709-152928 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: 2.2642 - Wer: 92.2175 - Cer: 35.3085 - Avg Pred Words: 32.51 - Avg Ref Words: 33.28 ## 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: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 32 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - training_steps: 100 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Avg Pred Words | Avg Ref Words | |:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:--------------:|:-------------:| | 2.997 | 1.5714 | 25 | 3.4215 | 102.3137 | 38.3373 | 34.21 | 33.28 | | 2.7464 | 3.1270 | 50 | 3.0001 | 105.6190 | 39.4960 | 36.69 | 33.28 | | 2.4057 | 4.6984 | 75 | 2.6360 | 101.9231 | 43.6317 | 34.85 | 33.28 | | 2.0697 | 6.2540 | 100 | 2.2642 | 92.2175 | 35.3085 | 32.51 | 33.28 | ### Framework versions - Transformers 4.57.6 - Pytorch 2.10.0+cu128 - Datasets 3.6.0 - Tokenizers 0.22.2