| language: | |
| - hi | |
| license: apache-2.0 | |
| base_model: openai/whisper-base | |
| tags: | |
| - hf-asr-leaderboard | |
| - generated_from_trainer | |
| datasets: | |
| - google/fleurs | |
| metrics: | |
| - wer | |
| model-index: | |
| - name: Whisper_Samveg17@ | |
| 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. --> | |
| # Whisper_Samveg17@ | |
| This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Google Fleurs dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.5117 | |
| - Wer: 37.9539 | |
| ## 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 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 500 | |
| - training_steps: 4000 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| | |
| | 0.1401 | 4.72 | 1000 | 0.3607 | 39.9494 | | |
| | 0.0174 | 9.43 | 2000 | 0.4239 | 38.9954 | | |
| | 0.0022 | 14.15 | 3000 | 0.4867 | 38.4698 | | |
| | 0.001 | 18.87 | 4000 | 0.5117 | 37.9539 | | |
| ### Framework versions | |
| - Transformers 4.32.0.dev0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.13.1 | |
| - Tokenizers 0.13.3 | |