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indrajitharidas
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my_awesome_mind_model

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
Inference Endpoints
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  1. README.md +17 -17
  2. model.safetensors +1 -1
  3. runs/Sep24_09-05-23_Indrajits-MBP/events.out.tfevents.1727193926.Indrajits-MBP.10724.0 +2 -2
README.md CHANGED
@@ -25,13 +25,13 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.4
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  - name: Precision
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  type: precision
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- value: 0.6923076923076923
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  - name: Recall
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  type: recall
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- value: 0.28125
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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
@@ -41,10 +41,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8348
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- - F1: 0.4
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- - Precision: 0.6923
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- - Recall: 0.2812
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  ## Model description
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@@ -78,16 +78,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|
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- | No log | 1.0 | 2 | 1.0602 | 0.6667 | 0.5 | 1.0 |
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- | No log | 2.0 | 4 | 1.0043 | 0.6667 | 0.5 | 1.0 |
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- | No log | 3.0 | 6 | 0.9622 | 0.625 | 0.5208 | 0.7812 |
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- | No log | 4.0 | 8 | 0.9279 | 0.5902 | 0.6207 | 0.5625 |
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- | 1.0103 | 5.0 | 10 | 0.9005 | 0.5098 | 0.6842 | 0.4062 |
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- | 1.0103 | 6.0 | 12 | 0.8782 | 0.4286 | 0.9 | 0.2812 |
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- | 1.0103 | 7.0 | 14 | 0.8611 | 0.4651 | 0.9091 | 0.3125 |
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- | 1.0103 | 8.0 | 16 | 0.8478 | 0.3810 | 0.8 | 0.25 |
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- | 1.0103 | 9.0 | 18 | 0.8385 | 0.4 | 0.6923 | 0.2812 |
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- | 0.8578 | 10.0 | 20 | 0.8348 | 0.4 | 0.6923 | 0.2812 |
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.2564102564102564
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  - name: Precision
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  type: precision
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+ value: 0.7142857142857143
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  - name: Recall
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  type: recall
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+ value: 0.15625
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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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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6889
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+ - F1: 0.2564
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+ - Precision: 0.7143
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+ - Recall: 0.1562
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 2 | 0.6914 | 0.2162 | 0.8 | 0.125 |
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+ | No log | 2.0 | 4 | 0.6894 | 0.4815 | 0.5909 | 0.4062 |
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+ | No log | 3.0 | 6 | 0.6887 | 0.3256 | 0.6364 | 0.2188 |
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+ | No log | 4.0 | 8 | 0.6881 | 0.3415 | 0.7778 | 0.2188 |
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+ | 0.6907 | 5.0 | 10 | 0.6883 | 0.3415 | 0.7778 | 0.2188 |
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+ | 0.6907 | 6.0 | 12 | 0.6890 | 0.2564 | 0.7143 | 0.1562 |
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+ | 0.6907 | 7.0 | 14 | 0.6894 | 0.2564 | 0.7143 | 0.1562 |
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+ | 0.6907 | 8.0 | 16 | 0.6894 | 0.2105 | 0.6667 | 0.125 |
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+ | 0.6907 | 9.0 | 18 | 0.6890 | 0.2564 | 0.7143 | 0.1562 |
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+ | 0.6851 | 10.0 | 20 | 0.6889 | 0.2564 | 0.7143 | 0.1562 |
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  ### Framework versions
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