finetuned-large-v3-exp2
This model is a fine-tuned version of /mnt/Storage2/asr-training/models/pytorch/tr-autonote/finetuned-large-v3-exp1 on the mtl-dev/turkish-yt-st-audios-clean-batch-1 default dataset. It achieves the following results on the evaluation set:
- Loss: 0.3407
- Wer: 23.7532
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: 5e-06
- 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
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1484 | 1.0 | 2614 | 0.2214 | 14.6964 |
| 0.0945 | 2.0 | 5228 | 0.2370 | 20.2480 |
| 0.0475 | 3.0 | 7842 | 0.2625 | 22.1170 |
| 0.0224 | 4.0 | 10456 | 0.2987 | 27.8664 |
| 0.0093 | 5.0 | 13070 | 0.3407 | 23.7532 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for mtl-dev/autonote-whisper-tr-finetuned-large-v3-exp2
Base model
openai/whisper-large-v3Evaluation results
- Wer on mtl-dev/turkish-yt-st-audios-clean-batch-1 defaultself-reported23.753