README.md

metadata

datasets:
  - common_voice_16_0
library_name: transformers
tags:
  - generated_from_trainer
model-index:
  - name: w2v-bert-2.0-mongolian-colab-CV16.0
    results: []

w2v-bert-2.0-mongolian-colab-CV16.0

This model was trained from scratch on the common_voice_16_0 dataset.

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• 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: 500
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1