learning_rate: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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: 2
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss
14.6072	0.2	2	9.2992
14.7062	0.4	4	9.2992
14.7707	0.6	6	9.2992
14.7094	0.8	8	9.2992
14.722	1.0	10	9.2992
14.6891	1.2	12	9.2992
14.7003	1.4	14	9.2992
14.7556	1.6	16	9.2994
10.6826	1.8	18	9.2998
9.8697	2.0	20	9.3005
11.1377	2.2	22	9.3005
7.7884	2.4	24	9.3002
6.0632	2.6	26	9.2997
5.2584	2.8	28	9.2984
4.8989	3.0	30	9.2961
4.6178	3.2	32	9.2924
4.4081	3.4	34	9.2877
4.1896	3.6	36	9.2824
4.1095	3.8	38	9.2774
3.998	4.0	40	9.2726
3.9535	4.2	42	9.2671
3.9242	4.4	44	9.2624
3.9082	4.6	46	9.2579
3.8371	4.8	48	9.2548
3.8282	5.0	50	9.2529
3.7675	5.2	52	9.2508
3.8366	5.4	54	9.2504
3.8349	5.6	56	9.2502
3.76	5.8	58	9.2492
3.7513	6.0	60	9.2491
3.7074	6.2	62	9.2493
3.6912	6.4	64	9.2487
3.7123	6.6	66	9.2474
3.6827	6.8	68	9.2481
3.68	7.0	70	9.2487
3.664	7.2	72	9.2483
3.7076	7.4	74	9.2482
3.6248	7.6	76	9.2486
3.6861	7.8	78	9.2492
3.6525	8.0	80	9.2495
3.6564	8.2	82	9.2499
3.6094	8.4	84	9.2502
3.5723	8.6	86	9.2505
3.5466	8.8	88	9.2506
3.5512	9.0	90	9.2508
3.5659	9.2	92	9.2508
3.6072	9.4	94	9.2510
3.5422	9.6	96	9.2511
3.5725	9.8	98	9.2514
3.5284	10.0	100	9.2516

Bhavyasree09/english-TELUGU-colloquial-translator

english-telugu-colloquial-translator