juancopi81/whisper-medium-es-train-valid
This model is a fine-tuned version of juancopi81/whisper-medium-es-train-valid on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2227
- Wer: 6.1548
Using the script provided in the Whisper Sprint (Dec. 2022) the models achieves these results on the evaluation sets (WER):
- google/fleurs: 6.94
- mozilla-foundation/common_voice_11_0: XXXX
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: 32
- eval_batch_size: 16
- 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0539 | 1.01 | 1000 | 0.2100 | 6.4465 |
| 0.0211 | 2.01 | 2000 | 0.2286 | 6.5082 |
| 0.0088 | 3.02 | 3000 | 0.2418 | 6.3848 |
| 0.0205 | 4.02 | 4000 | 0.2288 | 6.6603 |
| 0.1031 | 5.03 | 5000 | 0.2227 | 6.1548 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
- Downloads last month
- 29
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for juancopi81/whisper-medium-es-train-valid-3k-7k
Base model
juancopi81/whisper-medium-es-train-valid