hamsa-beta-v0.2.3

This model is a fine-tuned version of Ahmed107/hamsa-beta-v0.2.1 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2392
• eval_wer_ortho: 19.7326
• eval_wer: 19.2746
• eval_runtime: 1385.8988
• eval_samples_per_second: 1.205
• eval_steps_per_second: 0.076
• epoch: 1.31
• step: 6000

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: 1e-05
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 25
• training_steps: 8000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.14.7
• Tokenizers 0.15.0