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Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
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aihimanshu commited on
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End of training

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  1. README.md +12 -27
  2. model.safetensors +1 -1
  3. runs/Dec28_03-37-58_40196794e842/events.out.tfevents.1703736325.40196794e842.388.20 +2 -2
  4. runs/Dec28_03-37-58_40196794e842/events.out.tfevents.1703736492.40196794e842.388.21 +3 -0
README.md CHANGED
@@ -3,26 +3,11 @@ license: apache-2.0
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  base_model: facebook/wav2vec2-base
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  tags:
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  - generated_from_trainer
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- datasets:
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- - minds14
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  metrics:
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  - accuracy
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  model-index:
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  - name: model
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- results:
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- - task:
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- name: Audio Classification
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- type: audio-classification
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- dataset:
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- name: minds14
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- type: minds14
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- config: en-US
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- split: train
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- args: en-US
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.05309734513274336
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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
@@ -30,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # model
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- This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6603
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  - Accuracy: 0.0531
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.8 | 3 | 2.6404 | 0.0619 |
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- | No log | 1.87 | 7 | 2.6469 | 0.0531 |
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- | 2.6317 | 2.93 | 11 | 2.6506 | 0.0619 |
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- | 2.6317 | 4.0 | 15 | 2.6556 | 0.0354 |
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- | 2.6317 | 4.8 | 18 | 2.6580 | 0.0442 |
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- | 2.6143 | 5.87 | 22 | 2.6603 | 0.0531 |
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- | 2.6143 | 6.93 | 26 | 2.6603 | 0.0531 |
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- | 2.6133 | 8.0 | 30 | 2.6603 | 0.0531 |
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  ### Framework versions
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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- - Datasets 2.15.0
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  - Tokenizers 0.15.0
 
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  base_model: facebook/wav2vec2-base
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - accuracy
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  model-index:
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  - name: model
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+ results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  # model
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+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.7144
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  - Accuracy: 0.0531
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.8 | 3 | 2.7144 | 0.0531 |
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+ | No log | 1.87 | 7 | 2.7324 | 0.0354 |
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+ | 2.5129 | 2.93 | 11 | 2.7279 | 0.0531 |
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+ | 2.5129 | 4.0 | 15 | 2.7449 | 0.0354 |
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+ | 2.5129 | 4.8 | 18 | 2.7602 | 0.0354 |
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+ | 2.5019 | 5.87 | 22 | 2.7633 | 0.0354 |
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+ | 2.5019 | 6.93 | 26 | 2.7601 | 0.0354 |
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+ | 2.4436 | 8.0 | 30 | 2.7595 | 0.0354 |
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  ### Framework versions
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.0
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  - Tokenizers 0.15.0
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