learning_rate: 0.0003
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 3
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
0.9119	0.3232	500	0.7211
0.9128	0.6464	1000	0.7149
0.899	0.9696	1500	0.7059
0.8819	1.2928	2000	0.7051
0.8823	1.6160	2500	0.6976
0.8714	1.9392	3000	0.6957
0.8634	2.2624	3500	0.6942
0.8662	2.5856	4000	0.6925
0.8685	2.9089	4500	0.6915

ArchishSkyllect/byt5-gujarati-conti

byt5-gujarati-conti