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mina1369
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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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End of training

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Files changed (3) hide show
  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. runs/Nov18_19-47-14_9e74bf79ecbf/events.out.tfevents.1700336834.9e74bf79ecbf.3344.0 +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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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
@@ -32,8 +32,8 @@ 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 minds14 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6645
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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 | 2.6363 | 0.1062 |
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- | No log | 1.87 | 7 | 2.6487 | 0.0531 |
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- | 2.6324 | 2.93 | 11 | 2.6464 | 0.0885 |
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- | 2.6324 | 4.0 | 15 | 2.6567 | 0.0885 |
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- | 2.6324 | 4.8 | 18 | 2.6560 | 0.0619 |
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- | 2.6164 | 5.87 | 22 | 2.6543 | 0.0442 |
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- | 2.6164 | 6.93 | 26 | 2.6621 | 0.0354 |
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- | 2.6131 | 8.0 | 30 | 2.6645 | 0.0531 |
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  ### Framework versions
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- - Transformers 4.35.0
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  - Pytorch 2.1.0+cu118
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- - Datasets 2.14.6
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- - Tokenizers 0.14.1
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.061946902654867256
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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 minds14 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6457
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+ - Accuracy: 0.0619
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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 | 2.6380 | 0.0973 |
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+ | No log | 1.87 | 7 | 2.6385 | 0.0885 |
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+ | 2.634 | 2.93 | 11 | 2.6409 | 0.0708 |
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+ | 2.634 | 4.0 | 15 | 2.6425 | 0.0708 |
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+ | 2.634 | 4.8 | 18 | 2.6447 | 0.0619 |
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+ | 2.6293 | 5.87 | 22 | 2.6460 | 0.0619 |
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+ | 2.6293 | 6.93 | 26 | 2.6458 | 0.0619 |
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+ | 2.6227 | 8.0 | 30 | 2.6457 | 0.0619 |
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  ### Framework versions
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+ - Transformers 4.35.2
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  - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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