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adrianSauer
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wav2vec2-cer

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Guaraní
wav2vec2
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
adrianSauer commited on
Commit
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1 Parent(s): f8a3038

End of training

Browse files
Files changed (11) hide show
  1. README.md +1 -1
  2. added_tokens.json +4 -0
  3. preprocessor_config.json +1 -0
  4. runs/Mar16_11-14-24_48d916490ba5/events.out.tfevents.1710587666.48d916490ba5.3036.0 +3 -0
  5. runs/Mar16_11-14-24_48d916490ba5/events.out.tfevents.1710587786.48d916490ba5.3036.1 +3 -0
  6. runs/Mar16_11-20-12_48d916490ba5/events.out.tfevents.1710588016.48d916490ba5.4583.0 +3 -0
  7. runs/Mar16_11-25-16_48d916490ba5/events.out.tfevents.1710588361.48d916490ba5.5852.0 +3 -0
  8. special_tokens_map.json +28 -0
  9. tokenizer_config.json +52 -0
  10. training_args.bin +1 -1
  11. vocab.json +46 -0
README.md CHANGED
@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant_with_warmup
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  - lr_scheduler_warmup_steps: 1
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- - training_steps: 2
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant_with_warmup
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  - lr_scheduler_warmup_steps: 1
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+ - training_steps: 1
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  - mixed_precision_training: Native AMP
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  ### Training results
added_tokens.json ADDED
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preprocessor_config.json CHANGED
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  "feature_size": 1,
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  "padding_side": "right",
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  "padding_value": 0.0,
 
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  "return_attention_mask": true,
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  "sampling_rate": 16000
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  }
 
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  "feature_size": 1,
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  "padding_side": "right",
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  "padding_value": 0.0,
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+ "processor_class": "Wav2Vec2Processor",
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  "return_attention_mask": true,
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  "sampling_rate": 16000
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  }
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+ {
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+ "content": "<s>",
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+ "lstrip": false,
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+ "content": "</s>",
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+ "bos_token": "<s>",
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+ "eos_token": {
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+ "content": "</s>",
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+ "lstrip": false,
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+ "clean_up_tokenization_spaces": true,
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+ "processor_class": "Wav2Vec2Processor",
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+ "replace_word_delimiter_char": " ",
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+ "target_lang": null,
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+ "tokenizer_class": "Wav2Vec2CTCTokenizer",
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+ "unk_token": "[UNK]",
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+ "word_delimiter_token": "|"
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