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Benjaminpwh/
xls-r-300m-toratan-120

Name: xls-r-300m-toratan-120
Availability: InStock

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xls-r-300m-toratan-120

This model is a fine-tuned version of Benjaminpwh/xlsr-toratan-240-copt-base_K on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Cer
4.4013	4.1667	400	1.6662	0.4168
1.4361	8.3333	800	0.7861	0.2370
0.8924	12.5	1200	0.4475	0.1519
0.575	16.6667	1600	0.2061	0.0790
0.353	20.8333	2000	0.0794	0.0311
0.2164	25.0	2400	0.0308	0.0113
0.1399	29.1667	2800	0.0121	0.0036