base-mlm-tweet-target-tweet

This model is a fine-tuned version of muhtasham/base-mlm-tweet on the tweet_eval dataset. It achieves the following results on the evaluation set:

• Loss: 1.9081
• Accuracy: 0.7674
• F1: 0.7679

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
0.3371	4.9	500	1.0062	0.7888	0.7891
0.038	9.8	1000	1.4896	0.7754	0.7802
0.0165	14.71	1500	1.6711	0.7834	0.7830
0.018	19.61	2000	1.9081	0.7674	0.7679

Framework versions

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