albert-xxlarge-v2-disaster-twitter-v2

This model is a fine-tuned version of albert-xxlarge-v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3921
• F1: 0.7893

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: 2e-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: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	191	0.3930	0.7906
No log	2.0	382	0.6283	0.6569
0.4945	3.0	573	0.3921	0.7893

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.2