character_based_tigre_233

This model is a fine-tuned version of Samuael/asr-amharic-phoneme-based-233 on the alffa_amharic dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.0735
• eval_wer: 0.6463
• eval_cer: 0.2341
• eval_runtime: 14.3391
• eval_samples_per_second: 6.556
• eval_steps_per_second: 0.837
• epoch: 5.6
• step: 140

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: 0.0005
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1
• num_epochs: 10
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2