learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Sacrebleu	Chrf++	Bertscore F1
0.7528	0.1000	2774	0.6202	3.8674	15.5174	0.7285
0.5889	0.1999	5548	0.6139	4.6054	16.4393	0.7325
0.4936	0.2999	8322	0.6120	5.4362	17.7869	0.7403
0.4208	0.3999	11096	0.6272	5.6644	17.9396	0.7393
0.3632	0.4998	13870	0.6338	5.9257	18.4708	0.7442
0.3166	0.5998	16644	0.6397	6.2413	18.7404	0.7449
0.282	0.6998	19418	0.6516	6.4587	18.9960	0.7467
0.2548	0.7997	22192	0.6615	6.6110	18.9584	0.7449
0.2298	0.8997	24966	0.6724	7.0878	19.5834	0.7456
0.2129	0.9997	27740	0.6713	7.3080	19.8304	0.7474
0.1862	1.0996	30514	0.6847	7.4609	20.1005	0.7493
0.1749	1.1996	33288	0.6923	7.4167	19.9609	0.7475
0.1658	1.2996	36062	0.6889	7.5104	20.2113	0.7499
0.1566	1.3995	38836	0.6898	7.7014	20.3499	0.7492
0.1485	1.4995	41610	0.6941	7.7123	20.1927	0.7496
0.1424	1.5995	44384	0.6968	7.8026	20.3893	0.7484
0.1374	1.6994	47158	0.7047	7.8897	20.4496	0.7487
0.1321	1.7994	49932	0.7002	8.0187	20.6740	0.7505
0.1278	1.8994	52706	0.7018	8.1356	20.8127	0.7507
0.1237	1.9994	55480	0.7031	8.1342	20.8311	0.7508
0.1118	2.0993	58254	0.7171	8.0924	20.7461	0.7509
0.1095	2.1993	61028	0.7181	8.1214	20.7349	0.7500

FiveC/BartBana-deleteOriginal

BartBana-deleteOriginal