learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2

Training Loss	Epoch	Step	Validation Loss	Wer
0.1306	0.0741	1000	0.1286	35.3980
0.0923	0.1482	2000	0.0923	26.9373
0.0742	0.2224	3000	0.0797	23.8271
0.0727	0.2965	4000	0.0748	23.6953
0.0706	0.3706	5000	0.0708	22.7201
0.0614	0.4447	6000	0.0689	22.0611
0.065	0.5189	7000	0.0671	21.5340
0.0594	0.5930	8000	0.0640	21.1650
0.0563	0.6671	9000	0.0619	21.1386
0.06	0.7412	10000	0.0618	21.1650
0.055	0.8153	11000	0.0597	20.6378
0.0558	0.8895	12000	0.0595	20.6115
0.0513	0.9636	13000	0.0584	19.8208
0.0521	1.0377	14000	0.0567	20.2161
0.0482	1.1118	15000	0.0567	20.0316
0.0458	1.1859	16000	0.0563	17.9789
0.0487	1.2600	17000	0.0559	14.7153
0.0448	1.3341	18000	0.0554	14.7417
0.0411	1.4083	19000	0.0553	13.4254
0.0407	1.4824	20000	0.0542	11.2145
0.0455	1.5565	21000	0.0539	11.1355
0.0439	1.6306	22000	0.0537	11.8719
0.0427	1.7048	23000	0.0538	11.2936
0.0389	1.7789	24000	0.0534	9.9773
0.0385	1.8530	25000	0.0533	9.0828
0.0366	1.9271	26000	0.0532	9.1091

b1n1yam/shook-medium-amharic-2k

shook-medium-amharic-2k