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

muhtasham/tiny-vanilla-target-tweet

tiny-vanilla-target-tweet

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

muhtasham/
tiny-vanilla-target-tweet