Climate-TwitterBERT/Climate-TwitterBERT-step2

ctbert_climate_step2_three_category

This model is a fine-tuned version of Teapotboy/ctbert_climate_step1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6038
• Accuracy: 0.805
• Precision: 0.8034
• Recall: 0.805
• F1-weighted: 0.8008
• F1: 0.7798

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: 1e-05
• train_batch_size: 128
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1-weighted	F1
1.0552	1.0	13	1.0037	0.5925	0.4696	0.5925	0.5014	0.4092
0.9542	2.0	26	0.7901	0.6475	0.7247	0.6475	0.5755	0.5004
0.8064	3.0	39	0.6620	0.7125	0.7298	0.7125	0.6807	0.6323
0.5555	4.0	52	0.6044	0.7425	0.7416	0.7425	0.7298	0.6985
0.4958	5.0	65	0.6352	0.7425	0.7548	0.7425	0.7238	0.6840
0.4388	6.0	78	0.6029	0.7675	0.7701	0.7675	0.7563	0.7249
0.3266	7.0	91	0.6036	0.775	0.7782	0.775	0.7623	0.7326
0.2613	8.0	104	0.6038	0.805	0.8034	0.805	0.8008	0.7798

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3