readme: ---
  language:
  - en-US
  license: apache-2.0
  tags:
  - minds14
  - google/xtreme_s
  - generated_from_trainer
  datasets:
  - xtreme_s
  metrics:
  - f1
  - accuracy
  model-index:
  - name: xtreme_s_w2v2_t5lephone-small_minds14.en-US
    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. -->
  
  # xtreme_s_w2v2_t5lephone-small_minds14.en-US
  
  This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the GOOGLE/XTREME_S - MINDS14.EN-US dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5203
  - F1: 0.7526
  - Accuracy: 0.7518
  
  ## 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: 0.0003
  - train_batch_size: 2
  - eval_batch_size: 8
  - seed: 42
  - distributed_type: multi-GPU
  - num_devices: 2
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 32
  - total_eval_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 100
  - num_epochs: 150.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch  | Step | Validation Loss | F1     | Accuracy |
  |:-------------:|:------:|:----:|:---------------:|:------:|:--------:|
  | 2.589         | 3.95   | 20   | 2.6401          | 0.0108 | 0.0816   |
  | 2.5223        | 7.95   | 40   | 2.6493          | 0.0339 | 0.0816   |
  | 2.5085        | 11.95  | 60   | 2.6236          | 0.0539 | 0.1028   |
  | 2.1252        | 15.95  | 80   | 2.5006          | 0.1458 | 0.1667   |
  | 1.3711        | 19.95  | 100  | 2.2712          | 0.2344 | 0.2837   |
  | 1.5092        | 23.95  | 120  | 2.0599          | 0.3631 | 0.3936   |
  | 0.4962        | 27.95  | 140  | 1.8475          | 0.4881 | 0.4894   |
  | 0.4169        | 31.95  | 160  | 1.8262          | 0.5358 | 0.5142   |
  | 0.1579        | 35.95  | 180  | 1.6481          | 0.5967 | 0.6028   |
  | 0.0927        | 39.95  | 200  | 1.4470          | 0.6748 | 0.6560   |
  | 0.1363        | 43.95  | 220  | 1.2725          | 0.6836 | 0.6879   |
  | 0.1324        | 47.95  | 240  | 1.4330          | 0.6653 | 0.6702   |
  | 0.0294        | 51.95  | 260  | 1.2978          | 0.7079 | 0.7163   |
  | 0.0326        | 55.95  | 280  | 1.3869          | 0.6823 | 0.6879   |
  | 0.0444        | 59.95  | 300  | 1.5764          | 0.7051 | 0.6986   |
  | 0.0527        | 63.95  | 320  | 2.2013          | 0.5899 | 0.5851   |
  | 0.1542        | 67.95  | 340  | 1.5203          | 0.7053 | 0.6986   |
  | 0.0127        | 71.95  | 360  | 1.7149          | 0.7105 | 0.7128   |
  | 0.0105        | 75.95  | 380  | 1.2471          | 0.7853 | 0.7837   |
  | 0.009         | 79.95  | 400  | 1.5720          | 0.7065 | 0.7057   |
  | 0.0081        | 83.95  | 420  | 1.9395          | 0.6656 | 0.6702   |
  | 0.2345        | 87.95  | 440  | 1.5704          | 0.7408 | 0.7411   |
  | 0.0076        | 91.95  | 460  | 1.4706          | 0.7554 | 0.7589   |
  | 0.0064        | 95.95  | 480  | 1.5746          | 0.7491 | 0.7518   |
  | 0.3105        | 99.95  | 500  | 1.6824          | 0.7273 | 0.7376   |
  | 0.0058        | 103.95 | 520  | 1.3799          | 0.7474 | 0.7624   |
  | 0.0055        | 107.95 | 540  | 1.4086          | 0.7350 | 0.7518   |
  | 0.0051        | 111.95 | 560  | 1.2832          | 0.7874 | 0.7979   |
  | 0.0052        | 115.95 | 580  | 1.3474          | 0.7752 | 0.7801   |
  | 0.0046        | 119.95 | 600  | 1.6125          | 0.7451 | 0.7482   |
  | 0.0044        | 123.95 | 620  | 1.5927          | 0.7486 | 0.7518   |
  | 0.0044        | 127.95 | 640  | 1.5551          | 0.7487 | 0.7518   |
  | 0.0041        | 131.95 | 660  | 1.5117          | 0.7631 | 0.7660   |
  | 0.0041        | 135.95 | 680  | 1.5210          | 0.7577 | 0.7624   |
  | 0.0041        | 139.95 | 700  | 1.5145          | 0.7655 | 0.7660   |
  | 0.004         | 143.95 | 720  | 1.5053          | 0.7665 | 0.7660   |
  | 0.004         | 147.95 | 740  | 1.5203          | 0.7526 | 0.7518   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  