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DaisyQue/
finetuning-sentiment-model-tweet-OLDsamples

Name: finetuning-sentiment-model-tweet-OLDsamples
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finetuning-sentiment-model-tweet-OLDsamples

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest 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: 32
eval_batch_size: 16
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 Percentage	Accuracy Number	F1	Precision	Recall
0.5465	1.0	11	0.5817	0.7857	66.0	0.7854	0.7857	0.7857
0.351	2.0	22	0.4817	0.7976	67.0	0.7930	0.7976	0.7976
0.1612	3.0	33	1.0279	0.75	63.0	0.7618	0.75	0.75
0.0734	4.0	44	1.0266	0.7857	66.0	0.7968	0.7857	0.7857
0.0303	5.0	55	0.8942	0.8095	68.0	0.8150	0.8095	0.8095
0.0083	6.0	66	1.1278	0.8095	68.0	0.8177	0.8095	0.8095
0.0028	7.0	77	1.2560	0.7738	65.0	0.7878	0.7738	0.7738
0.0012	8.0	88	1.2988	0.7738	65.0	0.7878	0.7738	0.7738
0.001	9.0	99	1.3170	0.7857	66.0	0.7997	0.7857	0.7857
0.001	10.0	110	1.3200	0.7738	65.0	0.7878	0.7738	0.7738