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library_name: peft
language:
- it
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
datasets:
- b-brave-balanced-augmented
metrics:
- wer
model-index:
- name: Whisper Medium IT
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: b-brave-balanced-augmented
type: b-brave-balanced-augmented
metrics:
- type: wer
value: 37.471783295711056
name: Wer
---
<!-- 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 IT
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the b-brave-balanced-augmented dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5097
- Wer: 37.4718
- Cer: 25.0621
- Lr: 0.0000
## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 12
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Lr |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|:------:|
| 0.9163 | 1.0 | 413 | 0.8402 | 59.8194 | 36.7854 | 0.0001 |
| 0.5141 | 2.0 | 826 | 0.5758 | 116.7043 | 100.3728 | 0.0002 |
| 0.4624 | 3.0 | 1239 | 0.5542 | 181.9413 | 220.1740 | 0.0002 |
| 0.2622 | 4.0 | 1652 | 0.5540 | 36.7946 | 24.9379 | 0.0003 |
| 0.1687 | 5.0 | 2065 | 0.5141 | 93.4537 | 81.3173 | 0.0002 |
| 0.0797 | 6.0 | 2478 | 0.5233 | 34.9887 | 24.7307 | 0.0002 |
| 0.0367 | 7.0 | 2891 | 0.5124 | 36.3431 | 25.2693 | 0.0002 |
| 0.0264 | 8.0 | 3304 | 0.5188 | 35.2144 | 23.4880 | 0.0001 |
| 0.0108 | 9.0 | 3717 | 0.4938 | 33.6343 | 23.1152 | 0.0001 |
| 0.0084 | 10.0 | 4130 | 0.5044 | 37.9233 | 25.1450 | 0.0001 |
| 0.0014 | 11.0 | 4543 | 0.5071 | 37.2460 | 25.0621 | 0.0000 |
| 0.0017 | 11.9721 | 4944 | 0.5097 | 37.4718 | 25.0621 | 0.0000 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.2.0
- Datasets 3.3.2
- Tokenizers 0.21.1 |