| | --- |
| | license: apache-2.0 |
| | tags: |
| | - audio-classification |
| | - generated_from_trainer |
| | datasets: |
| | - xtreme_s |
| | metrics: |
| | - accuracy |
| | base_model: openai/whisper-medium |
| | model-index: |
| | - name: whisper-medium-fleurs-lang-id |
| | 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 Medium FLEURS Language Identification |
| |
|
| | This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the [FLEURS subset](https://huggingface.co/datasets/google/xtreme_s#language-identification---fleurs-langid) of the [google/xtreme_s](https://huggingface.co/google/xtreme_s) dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.8413 |
| | - Accuracy: 0.8805 |
| |
|
| | To reproduce this run, execute the command in [`run.sh`](https://huggingface.co/sanchit-gandhi/whisper-medium-fleurs-lang-id/blob/main/run.sh). |
| |
|
| | ## 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: 3e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 32 |
| | - seed: 0 |
| | - distributed_type: multi-GPU |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 3.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | | 0.0152 | 1.0 | 8494 | 0.9087 | 0.8431 | |
| | | 0.0003 | 2.0 | 16988 | 1.0059 | 0.8460 | |
| | | 0.0 | 3.0 | 25482 | 0.8413 | 0.8805 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.27.0.dev0 |
| | - Pytorch 1.13.1 |
| | - Datasets 2.9.0 |
| | - Tokenizers 0.13.2 |
| | |
