medium-vanilla-target-tweet

This model is a fine-tuned version of google/bert_uncased_L-8_H-512_A-8 on the tweet_eval dataset. It achieves the following results on the evaluation set:

• Loss: 1.9845
• Accuracy: 0.7754
• F1: 0.7746

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
0.4989	4.9	500	0.8358	0.7620	0.7589
0.0702	9.8	1000	1.3142	0.7674	0.7683
0.0233	14.71	1500	1.4760	0.7647	0.7650
0.015	19.61	2000	1.5151	0.7834	0.7841
0.0062	24.51	2500	1.6094	0.7968	0.7947
0.0113	29.41	3000	1.9273	0.7540	0.7537
0.0157	34.31	3500	2.0073	0.7433	0.7460
0.0124	39.22	4000	1.9845	0.7754	0.7746

Framework versions

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