caribbean_english_sentiment_fine_tuned_bert

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5396

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.2572	1.0	324	0.3697
0.4149	2.0	648	0.3590
0.1627	3.0	972	0.3551
0.1305	4.0	1296	0.3579
0.0864	5.0	1620	0.4610
0.0023	6.0	1944	0.5108
0.052	7.0	2268	0.4790
0.0976	8.0	2592	0.5181
0.0837	9.0	2916	0.5258
0.0011	10.0	3240	0.5396

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3