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update model card README.md

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@@ -4,6 +4,8 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - minds14
 
 
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  model-index:
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  - name: my_awesome_mind_model
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  results: []
@@ -14,7 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # my_awesome_mind_model
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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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  ## Model description
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@@ -42,13 +47,20 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 1
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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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- | No log | 0.8 | 3 | 2.6547 | 0.0354 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  - generated_from_trainer
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  datasets:
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  - minds14
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: my_awesome_mind_model
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  results: []
 
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  # my_awesome_mind_model
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+ This model is a fine-tuned version of [justin1983/my_awesome_mind_model](https://huggingface.co/justin1983/my_awesome_mind_model) on the minds14 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.6845
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+ - Accuracy: 0.0265
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 10
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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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+ | No log | 0.8 | 3 | 2.6851 | 0.0177 |
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+ | No log | 1.87 | 7 | 2.6810 | 0.0088 |
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+ | 2.5905 | 2.93 | 11 | 2.6795 | 0.0442 |
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+ | 2.5905 | 4.0 | 15 | 2.6785 | 0.0531 |
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+ | 2.5905 | 4.8 | 18 | 2.6824 | 0.0531 |
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+ | 2.5866 | 5.87 | 22 | 2.6821 | 0.0354 |
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+ | 2.5866 | 6.93 | 26 | 2.6839 | 0.0265 |
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+ | 2.5824 | 8.0 | 30 | 2.6845 | 0.0265 |
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  ### Framework versions