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_xlsr_300m_mt5-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_xlsr_300m_mt5-small_minds14.en-US
  
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the GOOGLE/XTREME_S - MINDS14.EN-US dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.7321
  - F1: 0.0154
  - Accuracy: 0.0638
  
  ## 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: 8
  - eval_batch_size: 64
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 100
  - num_epochs: 50.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
  | 2.6067        | 3.95  | 20   | 2.6501          | 0.0112 | 0.0851   |
  | 2.5614        | 7.95  | 40   | 2.8018          | 0.0133 | 0.0603   |
  | 2.2836        | 11.95 | 60   | 3.0786          | 0.0084 | 0.0603   |
  | 1.9597        | 15.95 | 80   | 3.2288          | 0.0126 | 0.0638   |
  | 1.5566        | 19.95 | 100  | 3.6934          | 0.0178 | 0.0567   |
  | 1.3168        | 23.95 | 120  | 3.9135          | 0.0150 | 0.0638   |
  | 1.0598        | 27.95 | 140  | 4.2618          | 0.0084 | 0.0603   |
  | 0.5721        | 31.95 | 160  | 3.7973          | 0.0354 | 0.0780   |
  | 0.4402        | 35.95 | 180  | 4.6233          | 0.0179 | 0.0638   |
  | 0.6113        | 39.95 | 200  | 4.6149          | 0.0208 | 0.0674   |
  | 0.3938        | 43.95 | 220  | 4.7886          | 0.0159 | 0.0638   |
  | 0.2473        | 47.95 | 240  | 4.7321          | 0.0154 | 0.0638   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  