readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: wav2vec2-base-finetuned-sentiment-mesd-v9
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # wav2vec2-base-finetuned-sentiment-mesd-v9
  
  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3500
  - Accuracy: 0.9154
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 0.0001
  - train_batch_size: 64
  - eval_batch_size: 40
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 256
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.01
  - num_epochs: 100
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 0.86  | 3    | 1.7825          | 0.1846   |
  | 1.9553        | 1.86  | 6    | 1.7212          | 0.4308   |
  | 1.9553        | 2.86  | 9    | 1.6164          | 0.3769   |
  | 2.002         | 3.86  | 12   | 1.4904          | 0.3769   |
  | 1.6191        | 4.86  | 15   | 1.4426          | 0.4385   |
  | 1.6191        | 5.86  | 18   | 1.3516          | 0.5231   |
  | 1.6209        | 6.86  | 21   | 1.2176          | 0.5538   |
  | 1.6209        | 7.86  | 24   | 1.1683          | 0.5692   |
  | 1.371         | 8.86  | 27   | 1.0885          | 0.5923   |
  | 1.1568        | 9.86  | 30   | 1.0152          | 0.6385   |
  | 1.1568        | 10.86 | 33   | 0.9289          | 0.6385   |
  | 1.1023        | 11.86 | 36   | 0.9141          | 0.6308   |
  | 1.1023        | 12.86 | 39   | 0.8526          | 0.6462   |
  | 0.9448        | 13.86 | 42   | 0.8420          | 0.6769   |
  | 0.7972        | 14.86 | 45   | 0.7976          | 0.6692   |
  | 0.7972        | 15.86 | 48   | 0.8192          | 0.7308   |
  | 0.7793        | 16.86 | 51   | 0.7108          | 0.7615   |
  | 0.7793        | 17.86 | 54   | 0.6712          | 0.7769   |
  | 0.6468        | 18.86 | 57   | 0.6684          | 0.7923   |
  | 0.5083        | 19.86 | 60   | 0.6922          | 0.7385   |
  | 0.5083        | 20.86 | 63   | 0.6148          | 0.7923   |
  | 0.4988        | 21.86 | 66   | 0.5846          | 0.7923   |
  | 0.4988        | 22.86 | 69   | 0.6050          | 0.8154   |
  | 0.4123        | 23.86 | 72   | 0.5506          | 0.7846   |
  | 0.3511        | 24.86 | 75   | 0.6095          | 0.7846   |
  | 0.3511        | 25.86 | 78   | 0.5916          | 0.8154   |
  | 0.3268        | 26.86 | 81   | 0.5912          | 0.8077   |
  | 0.3268        | 27.86 | 84   | 0.5142          | 0.8538   |
  | 0.3036        | 28.86 | 87   | 0.5492          | 0.8077   |
  | 0.3066        | 29.86 | 90   | 0.6007          | 0.8231   |
  | 0.3066        | 30.86 | 93   | 0.5748          | 0.8231   |
  | 0.2538        | 31.86 | 96   | 0.6027          | 0.7692   |
  | 0.2538        | 32.86 | 99   | 0.6979          | 0.7462   |
  | 0.2281        | 33.86 | 102  | 0.7002          | 0.7615   |
  | 0.2183        | 34.86 | 105  | 0.6650          | 0.7769   |
  | 0.2183        | 35.86 | 108  | 0.5192          | 0.8462   |
  | 0.2202        | 36.86 | 111  | 0.5389          | 0.8308   |
  | 0.2202        | 37.86 | 114  | 0.5050          | 0.8385   |
  | 0.1906        | 38.86 | 117  | 0.5722          | 0.7769   |
  | 0.154         | 39.86 | 120  | 0.5239          | 0.8308   |
  | 0.154         | 40.86 | 123  | 0.4448          | 0.8615   |
  | 0.1474        | 41.86 | 126  | 0.4623          | 0.8615   |
  | 0.1474        | 42.86 | 129  | 0.4282          | 0.8615   |
  | 0.1345        | 43.86 | 132  | 0.5087          | 0.8615   |
  | 0.1567        | 44.86 | 135  | 0.4859          | 0.8385   |
  | 0.1567        | 45.86 | 138  | 0.6603          | 0.8077   |
  | 0.1731        | 46.86 | 141  | 0.5379          | 0.8385   |
  | 0.1731        | 47.86 | 144  | 0.8666          | 0.7538   |
  | 0.1606        | 48.86 | 147  | 0.7518          | 0.8      |
  | 0.1484        | 49.86 | 150  | 0.5986          | 0.8385   |
  | 0.1484        | 50.86 | 153  | 0.6368          | 0.8231   |
  | 0.2256        | 51.86 | 156  | 0.4639          | 0.8692   |
  | 0.2256        | 52.86 | 159  | 0.5533          | 0.8462   |
  | 0.1178        | 53.86 | 162  | 0.5038          | 0.8615   |
  | 0.0815        | 54.86 | 165  | 0.5052          | 0.8692   |
  | 0.0815        | 55.86 | 168  | 0.4337          | 0.8846   |
  | 0.0998        | 56.86 | 171  | 0.4422          | 0.8769   |
  | 0.0998        | 57.86 | 174  | 0.4317          | 0.8692   |
  | 0.0855        | 58.86 | 177  | 0.4025          | 0.8923   |
  | 0.0962        | 59.86 | 18