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kming
/
wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train

Transformers
PyTorch
wav2vec2
audio-xvector
Generated from Trainer
Inference Endpoints
Model card Files Community
kming commited on
Commit
4e311c6
•
1 Parent(s): f67aee5

Training in progress, epoch 1

Browse files
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  1. README.md +55 -0
  2. config.json +2544 -0
  3. preprocessor_config.json +9 -0
  4. pytorch_model.bin +3 -0
  5. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model: anton-l/wav2vec2-base-superb-sv
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - edinburghcstr/ami
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+ model-index:
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+ - name: wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train
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+ results: []
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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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+ # wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train
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+
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+ This model is a fine-tuned version of [anton-l/wav2vec2-base-superb-sv](https://huggingface.co/anton-l/wav2vec2-base-superb-sv) on the ami dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
25
+
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+ More information needed
27
+
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+ ## Training and evaluation data
29
+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 4
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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_ratio: 0.1
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0.dev0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
config.json ADDED
@@ -0,0 +1,2544 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