results_6_to_11_with_embedding2

This model is a fine-tuned version of rohanrajpal/bert-base-codemixed-uncased-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3507
• Accuracy: 0.8759
• Precision: 0.8751
• Recall: 0.8759
• F1: 0.8755

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.3889	1.0	1460	0.3761	0.8335	0.8484	0.8335	0.8371
0.3273	2.0	2920	0.3196	0.8542	0.8602	0.8542	0.8561
0.2955	3.0	4380	0.3116	0.8645	0.8644	0.8645	0.8645
0.27	4.0	5840	0.3014	0.8704	0.8695	0.8704	0.8699
0.2601	5.0	7300	0.3285	0.8676	0.8714	0.8676	0.8689
0.2376	6.0	8760	0.3147	0.8726	0.8737	0.8726	0.8731
0.213	7.0	10220	0.3103	0.8699	0.8714	0.8699	0.8706
0.2013	8.0	11680	0.3424	0.8737	0.8733	0.8737	0.8735
0.192	9.0	13140	0.3398	0.8758	0.8746	0.8758	0.8750
0.1763	10.0	14600	0.3507	0.8759	0.8751	0.8759	0.8755

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1