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DaisyQue/
test_trainer

Name: test_trainer
Rating: 2.5 (8 reviews)

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test_trainer

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 128
eval_batch_size: 64
seed: 42
optimizer: Use 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_ratio: 0.1
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.4814	1.0	55	0.5014	0.793	0.7925	0.7935	0.8008
0.3957	2.0	110	0.5091	0.806	0.8050	0.8120	0.8030
0.2667	3.0	165	0.6027	0.815	0.8149	0.8195	0.8148
0.1823	4.0	220	0.7652	0.802	0.8015	0.8021	0.8088
0.1114	5.0	275	0.8443	0.808	0.8080	0.8105	0.8117
0.0862	6.0	330	0.9307	0.802	0.8021	0.8043	0.8072
0.0422	7.0	385	1.0603	0.792	0.7919	0.7943	0.7958
0.0323	8.0	440	1.1902	0.793	0.7928	0.7948	0.7982
0.0195	9.0	495	1.2363	0.791	0.7909	0.7941	0.7941
0.0172	10.0	550	1.2791	0.794	0.7938	0.7958	0.7986