Visualize in Weights & Biases Visualize in Weights & Biases Visualize in Weights & Biases

nyankole_wav2vec2-runpod-xls-r-300m

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.6261
  • eval_wer: 0.5665
  • eval_runtime: 38.7772
  • eval_samples_per_second: 4.848
  • eval_steps_per_second: 0.619
  • epoch: 28.9953
  • step: 3059

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 100

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.2.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
Downloads last month
8
Safetensors
Model size
315M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for Shawal777/nyankole_wav2vec2-runpod-xls-r-300m

Finetuned
(523)
this model