tiny-vanilla-target-tweet

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the tweet_eval dataset. It achieves the following results on the evaluation set:

• Loss: 0.9887
• Accuracy: 0.7032
• F1: 0.7042

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: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.1604	4.9	500	0.9784	0.6604	0.6290
0.7656	9.8	1000	0.8273	0.7139	0.6905
0.534	14.71	1500	0.8138	0.7219	0.7143
0.3832	19.61	2000	0.8591	0.7086	0.7050
0.2722	24.51	2500	0.9250	0.7112	0.7118
0.1858	29.41	3000	0.9887	0.7032	0.7042

Framework versions

• Transformers 4.25.1
• Pytorch 1.12.1
• Datasets 2.7.1
• Tokenizers 0.13.2