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+
---
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+
license: apache-2.0
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base_model: openai/whisper-large-v3
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tags:
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- generated_from_trainer
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+
datasets:
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- mozilla-foundation/common_voice_16_0
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metrics:
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- wer
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+
model-index:
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- name: whisper-large-v3-pt-cv16-cuda
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results:
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+
- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: mozilla-foundation/common_voice_16_0 pt
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type: mozilla-foundation/common_voice_16_0
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split: None
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args: pt
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metrics:
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- name: Wer
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type: wer
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value: 0.9998545572074984
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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
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should probably proofread and complete it, then remove this comment. -->
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+
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# whisper-large-v3-pt-cv16-cuda
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the mozilla-foundation/common_voice_16_0 pt dataset.
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+
It achieves the following results on the evaluation set:
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- Loss: 0.1325
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- Wer: 0.9999
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## Model description
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More information needed
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+
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## Intended uses & limitations
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More information needed
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+
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## Training and evaluation data
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+
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More information needed
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+
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## 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-06
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+
- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam 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: 2000
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- training_steps: 5000
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- mixed_precision_training: Native AMP
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+
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.199 | 0.26 | 1000 | 0.1563 | 0.1124 |
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| 0.1654 | 0.52 | 2000 | 0.1500 | 0.1052 |
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| 0.1794 | 0.77 | 3000 | 0.1379 | 0.0997 |
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| 0.0821 | 1.03 | 4000 | 0.1321 | 1.0007 |
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| 0.1292 | 1.29 | 5000 | 0.1325 | 0.9999 |
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+
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+
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### Framework versions
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+
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- Transformers 4.37.0.dev0
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+
- Pytorch 2.2.0.dev20231212
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+
- Datasets 2.15.1.dev0
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+
- Tokenizers 0.15.0
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{
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"epoch": 1.29,
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+
"eval_loss": 0.132488414645195,
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+
"eval_runtime": 171706.1904,
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+
"eval_samples": 9399,
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+
"eval_samples_per_second": 0.055,
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+
"eval_steps_per_second": 0.007,
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+
"eval_wer": 0.9998545572074984,
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+
"train_loss": 0.05041759390830994,
|
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+
"train_runtime": 1177508.0135,
|
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+
"train_samples": 30998,
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+
"train_samples_per_second": 0.034,
|
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+
"train_steps_per_second": 0.004
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+
}
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{
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+
"_name_or_path": "openai/whisper-large-v3",
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+
"activation_dropout": 0.0,
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+
"activation_function": "gelu",
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+
"apply_spec_augment": true,
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+
"architectures": [
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+
"WhisperForConditionalGeneration"
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+
],
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+
"attention_dropout": 0.0,
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+
"begin_suppress_tokens": [
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+
220,
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+
50257
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+
],
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+
"bos_token_id": 50257,
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+
"classifier_proj_size": 256,
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+
"d_model": 1280,
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+
"decoder_attention_heads": 20,
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+
"decoder_ffn_dim": 5120,
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+
"decoder_layerdrop": 0.0,
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+
"decoder_layers": 32,
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+
"decoder_start_token_id": 50258,
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+
"dropout": 0.0,
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+
"encoder_attention_heads": 20,
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+
"encoder_ffn_dim": 5120,
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+
"encoder_layerdrop": 0.0,
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+
"encoder_layers": 32,
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+
"eos_token_id": 50257,
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"forced_decoder_ids": null,
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+
"init_std": 0.02,
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+
"is_encoder_decoder": true,
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+
"mask_feature_length": 10,
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+
"mask_feature_min_masks": 0,
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+
"mask_feature_prob": 0.0,
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+
"mask_time_length": 10,
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+
"mask_time_min_masks": 2,
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+
"mask_time_prob": 0.05,
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+
"max_length": 448,
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+
"max_source_positions": 1500,
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+
"max_target_positions": 448,
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+
"median_filter_width": 7,
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+
"model_type": "whisper",
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+
"num_hidden_layers": 32,
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+
"num_mel_bins": 128,
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+
"pad_token_id": 50256,
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"scale_embedding": false,
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+
"torch_dtype": "float32",
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+
"transformers_version": "4.37.0.dev0",
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+
"use_cache": true,
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+
"use_weighted_layer_sum": false,
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+
"vocab_size": 51866
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+
}
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