Bangla-Twoclass-Sentiment-Analyzer

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

• Loss: 2.7755
• F1: 0.6113

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 1800
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	2.53	200	0.9869	0.4635
No log	5.06	400	0.8978	0.5858
0.8692	7.59	600	1.1978	0.6149
0.8692	10.13	800	1.5145	0.6112
0.3138	12.66	1000	2.0353	0.6041
0.3138	15.19	1200	2.4316	0.6203
0.3138	17.72	1400	2.6025	0.6002
0.0769	20.25	1600	2.6247	0.6082
0.0769	22.78	1800	2.7755	0.6113

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2