w2v-bert-2.0_kamba

This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.5826
• eval_cer: 0.0700
• eval_wer: 0.2966
• eval_runtime: 63.7188
• eval_samples_per_second: 10.656
• eval_steps_per_second: 1.334
• epoch: 19.8815
• step: 6600

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-05
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 800
• num_epochs: 32
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.55.2
• Pytorch 2.6.0+cu124
• Datasets 2.14.5
• Tokenizers 0.21.4