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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
Model card Files Metrics Community
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  1. README.md +22 -18
  2. model.safetensors +1 -1
  3. runs/Sep23_14-43-19_Indrajits-MBP/events.out.tfevents.1727127802.Indrajits-MBP.67108.0 +2 -2
README.md CHANGED
@@ -19,19 +19,19 @@ model-index:
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  dataset:
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  name: audiofolder
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  type: audiofolder
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- config: default
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- split: train
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- args: default
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.5864661654135338
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  - name: Precision
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  type: precision
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- value: 0.42391304347826086
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  - name: Recall
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  type: recall
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- value: 0.9512195121951219
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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: 0.9514
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- - F1: 0.5865
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- - Precision: 0.4239
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- - Recall: 0.9512
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  ## Model description
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@@ -76,14 +76,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall |
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- |:-------------:|:------:|:----:|:---------------:|:------:|:---------:|:------:|
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- | No log | 0.5714 | 1 | 1.0873 | 0.0 | 0.0 | 0.0 |
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- | No log | 1.7143 | 3 | 1.0299 | 0.1111 | 0.2308 | 0.0732 |
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- | No log | 2.8571 | 5 | 0.9925 | 0.3736 | 0.34 | 0.4146 |
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- | No log | 4.0 | 7 | 0.9678 | 0.5397 | 0.4 | 0.8293 |
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- | No log | 4.5714 | 8 | 0.9594 | 0.5538 | 0.4045 | 0.8780 |
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- | 1.006 | 5.7143 | 10 | 0.9514 | 0.5865 | 0.4239 | 0.9512 |
 
 
 
 
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  ### Framework versions
 
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  dataset:
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  name: audiofolder
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  type: audiofolder
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+ config: initial_audio
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+ split: test
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+ args: initial_audio
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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
 
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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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  ### Training results
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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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