metadata

license: cc-by-nc-4.0
base_model: Umong/wav2vec2-large-mms-1b-bengali
tags:
  - generated_from_trainer
model-index:
  - name: Umong/wav2vec2-large-mms-1b-bengali
    results: []

Umong/wav2vec2-large-mms-1b-bengali

This model is a fine-tuned version of Umong/wav2vec2-large-mms-1b-bengali on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.8979
eval_runtime: 77.1222
eval_samples_per_second: 6.483
eval_steps_per_second: 1.621
epoch: 0.84
step: 9000

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: 2e-06
train_batch_size: 2
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 2000
num_epochs: 1

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3