初始化项目，由ModelHub XC社区提供模型
Model: primeline/whisper-large-v3-turbo-german Source: Original Platform
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137
README.md
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README.md
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---
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license: apache-2.0
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language:
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- de
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library_name: transformers
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pipeline_tag: automatic-speech-recognition
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model-index:
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- name: whisper-large-v3-turbo-german by Florian Zimmermeister @primeLine
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results:
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- task:
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type: automatic-speech-recognition
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name: Speech Recognition
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dataset:
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name: German ASR Data-Mix
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type: flozi00/asr-german-mixed
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metrics:
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- type: wer
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value: 2.628 %
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name: Test WER
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datasets:
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- flozi00/asr-german-mixed
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- flozi00/asr-german-mixed-evals
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base_model:
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- primeline/whisper-large-v3-german
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---
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### Summary
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This model map provides information about a model based on Whisper Large v3 that has been fine-tuned for speech recognition in German. Whisper is a powerful speech recognition platform developed by OpenAI. This model has been specially optimized for processing and recognizing German speech.
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### Applications
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This model can be used in various application areas, including
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- Transcription of spoken German language
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- Voice commands and voice control
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- Automatic subtitling for German videos
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- Voice-based search queries in German
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- Dictation functions in word processing programs
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## Model family
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| Model | Parameters | link |
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|----------------------------------|------------|--------------------------------------------------------------|
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| Whisper large v3 german | 1.54B | [link](https://huggingface.co/primeline/whisper-large-v3-german) |
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| Whisper large v3 turbo german | 809M | [link](https://huggingface.co/primeline/whisper-large-v3-turbo-german)
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| Distil-whisper large v3 german | 756M | [link](https://huggingface.co/primeline/distil-whisper-large-v3-german) |
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| tiny whisper | 37.8M | [link](https://huggingface.co/primeline/whisper-tiny-german) |
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## Evaluations - Word error rate
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| Dataset | openai-whisper-large-v3-turbo | openai-whisper-large-v3 | primeline-whisper-large-v3-german | nyrahealth-CrisperWhisper (large)| primeline-whisper-large-v3-turbo-german |
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|-------------------------------------|-------------------------------|-------------------------|-----------------------------------|---------------------------|-----------------------------------------|
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| Tuda-De | 8.300 | 7.884 | 7.711 | **5.148** | 6.441 |
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| common_voice_19_0 | 3.849 | 3.484 | 3.215 | **1.927** | 3.200 |
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| multilingual librispeech | 3.203 | 2.832 | 2.129 | 2.815 | **2.070** |
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| All | 3.649 | 3.279 | 2.734 | 2.662 | **2.628** |
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The data and code for evaluations are available [here](https://huggingface.co/datasets/flozi00/asr-german-mixed-evals)
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### Training data
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The training data for this model includes a large amount of spoken German from various sources. The data was carefully selected and processed to optimize recognition performance.
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### Training process
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The training of the model was performed with the following hyperparameters
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- Batch size: 12288
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- Epochs: 3
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- Learning rate: 1e-6
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- Data augmentation: No
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- Optimizer: [Ademamix](https://arxiv.org/abs/2409.03137)
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### How to use
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```python
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import torch
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from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
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from datasets import load_dataset
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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model_id = "primeline/whisper-large-v3-turbo-german"
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model = AutoModelForSpeechSeq2Seq.from_pretrained(
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model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
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)
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model.to(device)
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processor = AutoProcessor.from_pretrained(model_id)
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pipe = pipeline(
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"automatic-speech-recognition",
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model=model,
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tokenizer=processor.tokenizer,
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feature_extractor=processor.feature_extractor,
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max_new_tokens=128,
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chunk_length_s=30,
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batch_size=16,
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return_timestamps=True,
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torch_dtype=torch_dtype,
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device=device,
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)
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dataset = load_dataset("distil-whisper/librispeech_long", "clean", split="validation")
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sample = dataset[0]["audio"]
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result = pipe(sample)
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print(result["text"])
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```
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## [About us](https://primeline-ai.com/en/)
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[](https://primeline-ai.com/en/)
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Your partner for AI infrastructure in Germany
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Experience the powerful AI infrastructure that drives your ambitions in Deep Learning, Machine Learning & High-Performance Computing.
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Optimized for AI training and inference.
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Model author: [Florian Zimmermeister](https://huggingface.co/flozi00)
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**Disclaimer**
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```
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This model is not a product of the primeLine Group.
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It represents research conducted by [Florian Zimmermeister](https://huggingface.co/flozi00), with computing power sponsored by primeLine.
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The model is published under this account by primeLine, but it is not a commercial product of primeLine Solutions GmbH.
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Please be aware that while we have tested and developed this model to the best of our abilities, errors may still occur.
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Use of this model is at your own risk. We do not accept liability for any incorrect outputs generated by this model.
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```
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config.json
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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"WhisperForConditionalGeneration"
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"median_filter_width": 7,
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"model_type": "whisper",
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"scale_embedding": false,
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"use_weighted_layer_sum": false,
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"vocab_size": 51866
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}
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generation_config.json
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"transformers_version": "4.46.0.dev0"
|
||||
}
|
||||
50001
merges.txt
Normal file
50001
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:62fdb20d35c7668c44e074702d586462888d178978d709399a0455af1c66cd1f
|
||||
size 1617825448
|
||||
1742
normalizer.json
Normal file
1742
normalizer.json
Normal file
File diff suppressed because it is too large
Load Diff
14
preprocessor_config.json
Normal file
14
preprocessor_config.json
Normal file
@@ -0,0 +1,14 @@
|
||||
{
|
||||
"chunk_length": 30,
|
||||
"feature_extractor_type": "WhisperFeatureExtractor",
|
||||
"feature_size": 128,
|
||||
"hop_length": 160,
|
||||
"n_fft": 400,
|
||||
"n_samples": 480000,
|
||||
"nb_max_frames": 3000,
|
||||
"padding_side": "right",
|
||||
"padding_value": 0.0,
|
||||
"processor_class": "WhisperProcessor",
|
||||
"return_attention_mask": false,
|
||||
"sampling_rate": 16000
|
||||
}
|
||||
139
special_tokens_map.json
Normal file
139
special_tokens_map.json
Normal file
@@ -0,0 +1,139 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|startoftranscript|>",
|
||||
"<|en|>",
|
||||
"<|zh|>",
|
||||
"<|de|>",
|
||||
"<|es|>",
|
||||
"<|ru|>",
|
||||
"<|ko|>",
|
||||
"<|fr|>",
|
||||
"<|ja|>",
|
||||
"<|pt|>",
|
||||
"<|tr|>",
|
||||
"<|pl|>",
|
||||
"<|ca|>",
|
||||
"<|nl|>",
|
||||
"<|ar|>",
|
||||
"<|sv|>",
|
||||
"<|it|>",
|
||||
"<|id|>",
|
||||
"<|hi|>",
|
||||
"<|fi|>",
|
||||
"<|vi|>",
|
||||
"<|he|>",
|
||||
"<|uk|>",
|
||||
"<|el|>",
|
||||
"<|ms|>",
|
||||
"<|cs|>",
|
||||
"<|ro|>",
|
||||
"<|da|>",
|
||||
"<|hu|>",
|
||||
"<|ta|>",
|
||||
"<|no|>",
|
||||
"<|th|>",
|
||||
"<|ur|>",
|
||||
"<|hr|>",
|
||||
"<|bg|>",
|
||||
"<|lt|>",
|
||||
"<|la|>",
|
||||
"<|mi|>",
|
||||
"<|ml|>",
|
||||
"<|cy|>",
|
||||
"<|sk|>",
|
||||
"<|te|>",
|
||||
"<|fa|>",
|
||||
"<|lv|>",
|
||||
"<|bn|>",
|
||||
"<|sr|>",
|
||||
"<|az|>",
|
||||
"<|sl|>",
|
||||
"<|kn|>",
|
||||
"<|et|>",
|
||||
"<|mk|>",
|
||||
"<|br|>",
|
||||
"<|eu|>",
|
||||
"<|is|>",
|
||||
"<|hy|>",
|
||||
"<|ne|>",
|
||||
"<|mn|>",
|
||||
"<|bs|>",
|
||||
"<|kk|>",
|
||||
"<|sq|>",
|
||||
"<|sw|>",
|
||||
"<|gl|>",
|
||||
"<|mr|>",
|
||||
"<|pa|>",
|
||||
"<|si|>",
|
||||
"<|km|>",
|
||||
"<|sn|>",
|
||||
"<|yo|>",
|
||||
"<|so|>",
|
||||
"<|af|>",
|
||||
"<|oc|>",
|
||||
"<|ka|>",
|
||||
"<|be|>",
|
||||
"<|tg|>",
|
||||
"<|sd|>",
|
||||
"<|gu|>",
|
||||
"<|am|>",
|
||||
"<|yi|>",
|
||||
"<|lo|>",
|
||||
"<|uz|>",
|
||||
"<|fo|>",
|
||||
"<|ht|>",
|
||||
"<|ps|>",
|
||||
"<|tk|>",
|
||||
"<|nn|>",
|
||||
"<|mt|>",
|
||||
"<|sa|>",
|
||||
"<|lb|>",
|
||||
"<|my|>",
|
||||
"<|bo|>",
|
||||
"<|tl|>",
|
||||
"<|mg|>",
|
||||
"<|as|>",
|
||||
"<|tt|>",
|
||||
"<|haw|>",
|
||||
"<|ln|>",
|
||||
"<|ha|>",
|
||||
"<|ba|>",
|
||||
"<|jw|>",
|
||||
"<|su|>",
|
||||
"<|yue|>",
|
||||
"<|translate|>",
|
||||
"<|transcribe|>",
|
||||
"<|startoflm|>",
|
||||
"<|startofprev|>",
|
||||
"<|nospeech|>",
|
||||
"<|notimestamps|>"
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
12997
tokenizer_config.json
Normal file
12997
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9af21663cae7f180db61dc7e861d7dc8bbfbbc4a4338cf41906109c3fbad9d7e
|
||||
size 5432
|
||||
50259
vocab.json
Normal file
50259
vocab.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user