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Model: biodatlab/whisper-th-small-combined Source: Original Platform
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checkpoint-*/
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111
.ipynb_checkpoints/README-checkpoint.md
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111
.ipynb_checkpoints/README-checkpoint.md
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---
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language:
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- th
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license: apache-2.0
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library_name: transformers
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tags:
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- whisper-event
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_13_0
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- google/fleurs
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metrics:
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- wer
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base_model: openai/whisper-small
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model-index:
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- name: Whisper Small Thai Combined V4 - biodatlab
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results:
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- task:
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type: automatic-speech-recognition
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name: Automatic Speech Recognition
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dataset:
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name: mozilla-foundation/common_voice_13_0 th
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type: mozilla-foundation/common_voice_13_0
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config: th
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split: test
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args: th
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metrics:
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- type: wer
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value: 13.14
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name: Wer
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---
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||||
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<!-- 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. -->
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||||
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# Whisper Small (Thai): Combined V4
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-small) on augmented versions of the mozilla-foundation/common_voice_13_0 th, google/fleurs, and curated datasets.
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It achieves the following results on the common-voice-13 test set:
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- WER: 13.14 (with Deepcut Tokenizer)
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## Model description
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Use the model with huggingface's `transformers` as follows:
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```py
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from transformers import pipeline
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MODEL_NAME = "biodatlab/whisper-th-small-combined" # specify the model name
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lang = "th" # change to Thai langauge
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device = 0 if torch.cuda.is_available() else "cpu"
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pipe = pipeline(
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task="automatic-speech-recognition",
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model=MODEL_NAME,
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chunk_length_s=30,
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device=device,
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)
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pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(
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language=lang,
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task="transcribe"
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)
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text = pipe("audio.mp3")["text"] # give audio mp3 and transcribe text
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```
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## Intended uses & limitations
|
||||
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||||
More information needed
|
||||
|
||||
## Training and evaluation data
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||||
|
||||
More information needed
|
||||
|
||||
## Training procedure
|
||||
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### Training hyperparameters
|
||||
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 10000
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- mixed_precision_training: Native AMP
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|
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### Framework versions
|
||||
|
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- Transformers 4.37.2
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||||
- Pytorch 2.1.0
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||||
- Datasets 2.16.1
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- Tokenizers 0.15.1
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## Citation
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Cite using Bibtex:
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||||
|
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```
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@misc {thonburian_whisper_med,
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author = { Atirut Boribalburephan, Zaw Htet Aung, Knot Pipatsrisawat, Titipat Achakulvisut },
|
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title = { Thonburian Whisper: A fine-tuned Whisper model for Thai automatic speech recognition },
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year = 2022,
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url = { https://huggingface.co/biodatlab/whisper-th-medium-combined },
|
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doi = { 10.57967/hf/0226 },
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publisher = { Hugging Face }
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}
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```
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111
README.md
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111
README.md
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@@ -0,0 +1,111 @@
|
||||
---
|
||||
language:
|
||||
- th
|
||||
license: apache-2.0
|
||||
library_name: transformers
|
||||
tags:
|
||||
- whisper-event
|
||||
- generated_from_trainer
|
||||
datasets:
|
||||
- mozilla-foundation/common_voice_13_0
|
||||
- google/fleurs
|
||||
metrics:
|
||||
- wer
|
||||
base_model: openai/whisper-small
|
||||
model-index:
|
||||
- name: Whisper Small Thai Combined V4 - biodatlab
|
||||
results:
|
||||
- task:
|
||||
type: automatic-speech-recognition
|
||||
name: Automatic Speech Recognition
|
||||
dataset:
|
||||
name: mozilla-foundation/common_voice_13_0 th
|
||||
type: mozilla-foundation/common_voice_13_0
|
||||
config: th
|
||||
split: test
|
||||
args: th
|
||||
metrics:
|
||||
- type: wer
|
||||
value: 13.14
|
||||
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 Small (Thai): Combined V4
|
||||
|
||||
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-small) on augmented versions of the mozilla-foundation/common_voice_13_0 th, google/fleurs, and curated datasets.
|
||||
It achieves the following results on the common-voice-13 test set:
|
||||
- WER: 13.14 (with Deepcut Tokenizer)
|
||||
|
||||
## Model description
|
||||
|
||||
Use the model with huggingface's `transformers` as follows:
|
||||
|
||||
```py
|
||||
from transformers import pipeline
|
||||
|
||||
MODEL_NAME = "biodatlab/whisper-th-small-combined" # specify the model name
|
||||
lang = "th" # change to Thai langauge
|
||||
|
||||
device = 0 if torch.cuda.is_available() else "cpu"
|
||||
|
||||
pipe = pipeline(
|
||||
task="automatic-speech-recognition",
|
||||
model=MODEL_NAME,
|
||||
chunk_length_s=30,
|
||||
device=device,
|
||||
)
|
||||
pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(
|
||||
language=lang,
|
||||
task="transcribe"
|
||||
)
|
||||
text = pipe("audio.mp3")["text"] # give audio mp3 and transcribe text
|
||||
```
|
||||
|
||||
|
||||
## 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: 16
|
||||
- eval_batch_size: 16
|
||||
- seed: 42
|
||||
- optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08
|
||||
- lr_scheduler_type: linear
|
||||
- lr_scheduler_warmup_steps: 500
|
||||
- training_steps: 10000
|
||||
- mixed_precision_training: Native AMP
|
||||
|
||||
### Framework versions
|
||||
|
||||
- Transformers 4.37.2
|
||||
- Pytorch 2.1.0
|
||||
- Datasets 2.16.1
|
||||
- Tokenizers 0.15.1
|
||||
|
||||
## Citation
|
||||
|
||||
Cite using Bibtex:
|
||||
|
||||
```
|
||||
@misc {thonburian_whisper_med,
|
||||
author = { Atirut Boribalburephan, Zaw Htet Aung, Knot Pipatsrisawat, Titipat Achakulvisut },
|
||||
title = { Thonburian Whisper: A fine-tuned Whisper model for Thai automatic speech recognition },
|
||||
year = 2022,
|
||||
url = { https://huggingface.co/biodatlab/whisper-th-medium-combined },
|
||||
doi = { 10.57967/hf/0226 },
|
||||
publisher = { Hugging Face }
|
||||
}
|
||||
```
|
||||
1609
added_tokens.json
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1609
added_tokens.json
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Load Diff
8
all_results.json
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all_results.json
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{
|
||||
"epoch": 0.82,
|
||||
"train_loss": 0.5370022094726562,
|
||||
"train_runtime": 11752.0797,
|
||||
"train_samples": 194401,
|
||||
"train_samples_per_second": 13.615,
|
||||
"train_steps_per_second": 0.851
|
||||
}
|
||||
51
config.json
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config.json
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{
|
||||
"_name_or_path": "openai/whisper-small",
|
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"activation_dropout": 0.0,
|
||||
"activation_function": "gelu",
|
||||
"apply_spec_augment": true,
|
||||
"architectures": [
|
||||
"WhisperForConditionalGeneration"
|
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],
|
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"attention_dropout": 0.0,
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||||
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||||
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||||
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||||
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||||
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||||
"init_std": 0.02,
|
||||
"is_encoder_decoder": true,
|
||||
"mask_feature_length": 64,
|
||||
"mask_feature_min_masks": 0,
|
||||
"mask_feature_prob": 0.1,
|
||||
"mask_time_length": 10,
|
||||
"mask_time_min_masks": 2,
|
||||
"mask_time_prob": 0.1,
|
||||
"max_length": 448,
|
||||
"max_source_positions": 1500,
|
||||
"max_target_positions": 448,
|
||||
"median_filter_width": 7,
|
||||
"model_type": "whisper",
|
||||
"num_hidden_layers": 12,
|
||||
"num_mel_bins": 80,
|
||||
"pad_token_id": 50257,
|
||||
"scale_embedding": false,
|
||||
"torch_dtype": "float16",
|
||||
"transformers_version": "4.37.2",
|
||||
"use_cache": true,
|
||||
"use_weighted_layer_sum": false,
|
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"vocab_size": 51865
|
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}
|
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generation_config.json
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generation_config.json
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{
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"alignment_heads": [
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[
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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||||
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|
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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|
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"<|tr|>": 50268,
|
||||
"<|tt|>": 50351,
|
||||
"<|uk|>": 50280,
|
||||
"<|ur|>": 50290,
|
||||
"<|uz|>": 50337,
|
||||
"<|vi|>": 50278,
|
||||
"<|yi|>": 50335,
|
||||
"<|yo|>": 50325,
|
||||
"<|zh|>": 50260
|
||||
},
|
||||
"max_initial_timestamp_index": 50,
|
||||
"max_length": 448,
|
||||
"no_timestamps_token_id": 50363,
|
||||
"pad_token_id": 50257,
|
||||
"prev_sot_token_id": 50361,
|
||||
"return_timestamps": false,
|
||||
"suppress_tokens": [
|
||||
1,
|
||||
2,
|
||||
7,
|
||||
8,
|
||||
9,
|
||||
10,
|
||||
14,
|
||||
25,
|
||||
26,
|
||||
27,
|
||||
28,
|
||||
29,
|
||||
31,
|
||||
58,
|
||||
59,
|
||||
60,
|
||||
61,
|
||||
62,
|
||||
63,
|
||||
90,
|
||||
91,
|
||||
92,
|
||||
93,
|
||||
359,
|
||||
503,
|
||||
522,
|
||||
542,
|
||||
873,
|
||||
893,
|
||||
902,
|
||||
918,
|
||||
922,
|
||||
931,
|
||||
1350,
|
||||
1853,
|
||||
1982,
|
||||
2460,
|
||||
2627,
|
||||
3246,
|
||||
3253,
|
||||
3268,
|
||||
3536,
|
||||
3846,
|
||||
3961,
|
||||
4183,
|
||||
4667,
|
||||
6585,
|
||||
6647,
|
||||
7273,
|
||||
9061,
|
||||
9383,
|
||||
10428,
|
||||
10929,
|
||||
11938,
|
||||
12033,
|
||||
12331,
|
||||
12562,
|
||||
13793,
|
||||
14157,
|
||||
14635,
|
||||
15265,
|
||||
15618,
|
||||
16553,
|
||||
16604,
|
||||
18362,
|
||||
18956,
|
||||
20075,
|
||||
21675,
|
||||
22520,
|
||||
26130,
|
||||
26161,
|
||||
26435,
|
||||
28279,
|
||||
29464,
|
||||
31650,
|
||||
32302,
|
||||
32470,
|
||||
36865,
|
||||
42863,
|
||||
47425,
|
||||
49870,
|
||||
50254,
|
||||
50258,
|
||||
50358,
|
||||
50359,
|
||||
50360,
|
||||
50361,
|
||||
50362
|
||||
],
|
||||
"task_to_id": {
|
||||
"transcribe": 50359,
|
||||
"translate": 50358
|
||||
},
|
||||
"transformers_version": "4.37.2"
|
||||
}
|
||||
50000
merges.txt
Normal file
50000
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:d7eb5e67f4593661f6873617291d82ef9a095e156375c927151bf05a998612d7
|
||||
size 563189936
|
||||
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": 80,
|
||||
"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": [
|
||||
"<|endoftext|>",
|
||||
"<|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|>",
|
||||
"<|translate|>",
|
||||
"<|transcribe|>",
|
||||
"<|startoflm|>",
|
||||
"<|startofprev|>",
|
||||
"<|nocaptions|>",
|
||||
"<|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
|
||||
}
|
||||
}
|
||||
114894
tokenizer.json
Normal file
114894
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
12989
tokenizer_config.json
Normal file
12989
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user