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colorlessideas/
xls-r-300m-toratan-120-copt

Name: xls-r-300m-toratan-120-copt
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xls-r-300m-toratan-120-copt

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
4.5582	4.1667	400	1.8811	0.5809
1.5024	8.3333	800	0.8199	0.2577
0.9223	12.5	1200	0.4515	0.1573
0.5883	16.6667	1600	0.2131	0.0854
0.369	20.8333	2000	0.0768	0.0305
0.2309	25.0	2400	0.0288	0.0117
0.1515	29.1667	2800	0.0124	0.0045