Bangla_multiclass_sentiment_analysis_model – AI Model by Arunavaonly | AlphaNeural AI

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Arunavaonly/
Bangla_multiclass_sentiment_analysis_model

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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Bangla_multiclass_sentiment_analysis_model

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: 0.2648
F1: 0.9309

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
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	0.26	200	0.5353	0.7972
No log	0.51	400	0.3261	0.8800
0.5223	0.77	600	0.3222	0.8979
0.5223	1.03	800	0.2646	0.9170
0.2984	1.28	1000	0.2915	0.9028
0.2984	1.54	1200	0.2432	0.9234
0.2984	1.8	1400	0.2504	0.9209
0.2514	2.05	1600	0.2341	0.9246
0.2514	2.31	1800	0.2714	0.9237
0.1895	2.57	2000	0.2537	0.9269
0.1895	2.82	2200	0.2648	0.9309

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1