memobert3_ED1

This model is a fine-tuned version of MiMe-MeMo/MeMo-BERT-03 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2698
• F1-score: 0.9344

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score
No log	1.0	69	0.2789	0.8934
No log	2.0	138	0.3454	0.8839
No log	3.0	207	0.2698	0.9344
No log	4.0	276	0.4248	0.9262
No log	5.0	345	0.5399	0.9097
No log	6.0	414	0.5981	0.8933
No log	7.0	483	0.6430	0.9013
0.1618	8.0	552	0.6388	0.9096
0.1618	9.0	621	0.6361	0.9096
0.1618	10.0	690	0.6451	0.9096

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1