CS224S_Quechua_Project_Expanded_Dataset
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: 1.1653
- eval_wer: 0.9562
- eval_runtime: 56.4123
- eval_samples_per_second: 11.629
- eval_steps_per_second: 1.454
- epoch: 6.5041
- step: 9600
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 70
- num_epochs: 10
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for cportoca/CS224S_Quechua_Project_Expanded_Dataset
Base model
facebook/w2v-bert-2.0