This model is a fine-tuned version of FarmerlineML/w2v-bert-2.0_twi_alpha on an unknown dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.4134
eval_cer: 0.0730
eval_wer: 0.2584
eval_runtime: 21.7527
eval_samples_per_second: 20.457
eval_steps_per_second: 2.574
epoch: 8.5147
step: 800
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
