metadata
license: mit
base_model: facebook/w2v-bert-2.0
tags:
- generated_from_trainer
model-index:
- name: w2v-bert-kannada_new_v3
results: []
w2v-bert-kannada_new_v3
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1652
- eval_wer: 0.2279
- eval_runtime: 798.2629
- eval_samples_per_second: 5.84
- eval_steps_per_second: 5.84
- epoch: 0.9054
- step: 14000
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: 4e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 5
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1