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reichenbach
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wav2vec2-large-xls-r-300m-hi

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hindi
wav2vec2
Generated from Trainer
hf-asr-leaderboard
robust-speech-event
Inference Endpoints
Model card Files Metrics Community
reichenbach commited on
Commit
e87d957
•
1 Parent(s): f9ab962

Training in progress, step 400

Browse files
Files changed (7) hide show
  1. config.json +4 -4
  2. pytorch_model.bin +1 -1
  3. runs/Feb04_03-52-16_job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0/1643947009.516695/events.out.tfevents.1643947009.job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0.176352.5 +3 -0
  4. runs/Feb04_03-52-16_job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0/1643947107.8947704/events.out.tfevents.1643947107.job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0.176352.7 +3 -0
  5. runs/Feb04_03-52-16_job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0/events.out.tfevents.1643947009.job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0.176352.4 +3 -0
  6. runs/Feb04_03-52-16_job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0/events.out.tfevents.1643947107.job-1cbb6c7a-d063-4cb3-ba22-bc0e2afc09f0.176352.6 +3 -0
  7. training_args.bin +1 -1
config.json CHANGED
@@ -5,7 +5,7 @@
5
  "architectures": [
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  "Wav2Vec2ForCTC"
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  ],
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- "attention_dropout": 0.0,
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  "bos_token_id": 1,
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  "classifier_proj_size": 256,
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  "codevector_dim": 768,
@@ -46,17 +46,17 @@
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  "feat_extract_activation": "gelu",
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  "feat_extract_dropout": 0.0,
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  "feat_extract_norm": "layer",
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- "feat_proj_dropout": 0.0,
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  "feat_quantizer_dropout": 0.0,
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  "final_dropout": 0.0,
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  "gradient_checkpointing": false,
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  "hidden_act": "gelu",
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- "hidden_dropout": 0.0,
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  "hidden_size": 1024,
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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  "layer_norm_eps": 1e-05,
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- "layerdrop": 0.0,
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  "mask_feature_length": 10,
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  "mask_feature_prob": 0.0,
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  "mask_time_length": 10,
 
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  "architectures": [
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  "Wav2Vec2ForCTC"
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  ],
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+ "attention_dropout": 0.2,
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  "bos_token_id": 1,
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  "classifier_proj_size": 256,
11
  "codevector_dim": 768,
 
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  "feat_extract_activation": "gelu",
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  "feat_extract_dropout": 0.0,
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  "feat_extract_norm": "layer",
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+ "feat_proj_dropout": 0.1,
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  "feat_quantizer_dropout": 0.0,
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  "final_dropout": 0.0,
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  "gradient_checkpointing": false,
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  "hidden_act": "gelu",
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+ "hidden_dropout": 0.2,
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  "hidden_size": 1024,
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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  "layer_norm_eps": 1e-05,
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+ "layerdrop": 0.3,
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  "mask_feature_length": 10,
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  "mask_feature_prob": 0.0,
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  "mask_time_length": 10,
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