README.md

metadata

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_minds14.en-US_2
    results: []

xtreme_s_xlsr_300m_minds14.en-US_2

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m--concat-->mt5 on the GOOGLE/XTREME_S - MINDS14.EN-US dataset. It achieves the following results on the evaluation set:

• Loss: 0.5685
• F1: 0.83333
• Accuracy: 0.83258

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: 50.0
• mixed_precision_training: Native AMP

Training results

See TensorBoard

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0+cu113
• Datasets 2.1.0
• Tokenizers 0.12.1