
<!-- 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-large-SynthD2D-40K-transcribe

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1547
- Mter: 100.0
- Gte Large: 68.91
- Wer: 65.18
- Cer: 26.95
- Ter: 65.13
- Sacrebleu: 18.79
- Meteor: 35.6

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mter  | Gte Large | Wer   | Cer   | Ter   | Sacrebleu | Meteor |
|:-------------:|:-----:|:----:|:---------------:|:-----:|:---------:|:-----:|:-----:|:-----:|:---------:|:------:|
| 0.0605        | 1.0   | 1243 | 1.4677          | 100.0 | 69.46     | 66.5  | 26.96 | 66.42 | 19.3      | 34.73  |
| 0.0285        | 2.0   | 2486 | 1.5517          | 100.0 | 69.35     | 66.6  | 27.53 | 66.52 | 18.14     | 34.5   |
| 0.017         | 3.0   | 3729 | 1.6532          | 100.0 | 67.81     | 66.11 | 27.11 | 66.03 | 18.58     | 34.49  |
| 0.0206        | 4.0   | 4973 | 1.8757          | 100.0 | 70.89     | 65.9  | 26.64 | 65.81 | 18.64     | 35.17  |
| 0.0089        | 5.0   | 6216 | 1.9776          | 100.0 | 69.19     | 65.0  | 26.64 | 64.93 | 19.32     | 36.19  |
| 0.0026        | 6.0   | 7458 | 2.1547          | 100.0 | 68.91     | 65.18 | 26.95 | 65.13 | 18.79     | 35.6   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.7
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer", "sacrebleu"], "base_model": "openai/whisper-large-v2", "model-index": [{"name": "whisper-large-SynthD2D-40K-transcribe", "results": []}]}
transformers pytorch tensorboard whisper automatic-speech-recognition generated_from_trainer base_model:openai/whisper-large-v2 license:apache-2.0 endpoints_compatible region:us