Hugging Face's logo

Serialtechlab
/
w2v-bert-2.0-dhivehi-cv

Safetensors
Divehi
wav2vec2-bert
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
 Community

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

w2v Bert 2.0 Dv - alakxender

This model is a fine-tuned version of alakxender/w2v-bert-2.0-dhivehi-cv on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3580
  • Wer: 0.4591

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: 32
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • 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

Training Loss Epoch Step Validation Loss Wer
1.9272 3.8961 300 0.3712 0.5096
0.1846 7.7922 600 0.3580 0.4591

Framework versions

  • Transformers 4.41.0.dev0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
Downloads last month
8
Safetensors
Model size
0.6B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Serialtechlab/w2v-bert-2.0-dhivehi-cv

Unable to build the model tree, the base model loops to the model itself. Learn more.

Dataset used to train Serialtechlab/w2v-bert-2.0-dhivehi-cv

Evaluation results