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mina1369
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my_awesome_mind_model

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
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  1. README.md +15 -13
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@@ -16,13 +16,13 @@ model-index:
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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: 0.061946902654867256
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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
@@ -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: 2.6457
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- - Accuracy: 0.0619
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  ## Model description
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@@ -67,14 +67,16 @@ The following hyperparameters were used during training:
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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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  dataset:
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  name: minds14
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  type: minds14
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+ config: all
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  split: train
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+ args: all
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.19461444308445533
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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: 2.3043
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+ - Accuracy: 0.1946
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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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+ | 2.5917 | 1.0 | 51 | 2.5829 | 0.1212 |
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+ | 2.446 | 1.99 | 102 | 2.4314 | 0.1548 |
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+ | 2.3832 | 2.99 | 153 | 2.4035 | 0.1499 |
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+ | 2.3799 | 4.0 | 205 | 2.3959 | 0.1585 |
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+ | 2.3082 | 5.0 | 256 | 2.4232 | 0.1646 |
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+ | 2.3123 | 5.99 | 307 | 2.3424 | 0.1720 |
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+ | 2.2871 | 6.99 | 358 | 2.3240 | 0.1769 |
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+ | 2.28 | 8.0 | 410 | 2.3176 | 0.1873 |
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+ | 2.2306 | 9.0 | 461 | 2.3139 | 0.1940 |
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+ | 2.2277 | 9.95 | 510 | 2.3043 | 0.1946 |
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  ### Framework versions