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Shakhovak/
flan-t5-xl-absa-multitask-laptops

generated_from_trainer

ybelkada/flan-t5-xl-sharded-bf16

finetune

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flan-t5-xl-absa-multitask-laptops

This model is a fine-tuned version of ybelkada/flan-t5-xl-sharded-bf16 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0986

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
4.7611	0.32	200	3.2781
1.4428	0.63	400	0.4469
0.4548	0.95	600	0.2874
0.3146	1.26	800	0.2316
0.2675	1.58	1000	0.2096
0.2438	1.9	1200	0.1935
0.2244	2.21	1400	0.1714
0.2127	2.53	1600	0.1587
0.1927	2.84	1800	0.1541
0.1787	3.16	2000	0.1467
0.1715	3.48	2200	0.1350
0.1625	3.79	2400	0.1357
0.1579	4.11	2600	0.1304
0.1522	4.42	2800	0.1222
0.1417	4.74	3000	0.1204
0.1399	5.06	3200	0.1234
0.1303	5.37	3400	0.1211
0.1326	5.69	3600	0.1093
0.1241	6.0	3800	0.1090
0.1212	6.32	4000	0.1127
0.1189	6.64	4200	0.1045
0.124	6.95	4400	0.1077
0.1152	7.27	4600	0.1024
0.1141	7.58	4800	0.1008
0.1072	7.9	5000	0.1043
0.1146	8.21	5200	0.1011
0.1071	8.53	5400	0.0996
0.1149	8.85	5600	0.0990
0.1088	9.16	5800	0.1003
0.1064	9.48	6000	0.0988
0.1049	9.79	6200	0.0986

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Shakhovak/flan-t5-xl-absa-multitask-laptops

flan-t5-xl-absa-multitask-laptops

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Shakhovak/
flan-t5-xl-absa-multitask-laptops