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Model save

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  1. README.md +8 -10
  2. config.json +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
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  ---
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  library_name: transformers
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- license: apache-2.0
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- base_model: jonatasgrosman/wav2vec2-large-xlsr-53-english
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -16,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # Emotionwav2vec2AudioDF-V1
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- This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7381
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  - Accuracy: 0.8516
 
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.7157 | 1.0 | 2560 | 0.7471 | 0.7555 |
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- | 0.4921 | 2.0 | 5120 | 0.8095 | 0.8141 |
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- | 0.452 | 3.0 | 7680 | 0.7095 | 0.8414 |
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- | 0.4294 | 4.0 | 10240 | 0.7381 | 0.8516 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
 
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # Emotionwav2vec2AudioDF-V1
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+ This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
 
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  - Accuracy: 0.8516
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+ - Loss: 0.7381
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:--------:|:---------------:|
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+ | 0.7157 | 1.0 | 2560 | 0.7555 | 0.7471 |
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+ | 0.4921 | 2.0 | 5120 | 0.8141 | 0.8095 |
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+ | 0.452 | 3.0 | 7680 | 0.8414 | 0.7095 |
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+ | 0.4294 | 4.0 | 10240 | 0.8516 | 0.7381 |
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  ### Framework versions
config.json CHANGED
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  {
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- "_name_or_path": "jonatasgrosman/wav2vec2-large-xlsr-53-english",
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  "activation_dropout": 0.05,
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  "adapter_attn_dim": null,
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  "adapter_kernel_size": 3,
 
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  {
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+ "_name_or_path": "/kaggle/input/emotion-wav2vec2-xlsr-finetune-celeb-df/Emotionwav2vec2AudioDF-V1/checkpoint-10240",
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  "activation_dropout": 0.05,
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  "adapter_attn_dim": null,
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  "adapter_kernel_size": 3,
training_args.bin CHANGED
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  size 5176
 
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