Improved-MARBERT-twitter-sentiment-nodroput-Twitter – AI Model by Anwaarma | AlphaNeural AI

You can deploy this model and start earning money today!

Anwaarma/
Improved-MARBERT-twitter-sentiment-nodroput-Twitter

like

0

text-classification

generated_from_trainer

UBC-NLP/MARBERTv2

autotrain_compatible

endpoints_compatible

Views

No views yet

Improved-MARBERT-twitter-sentiment-nodroput-Twitter

This model is a fine-tuned version of UBC-NLP/MARBERTv2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9314
Accuracy: 0.85

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: 1e-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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5838	0.55	50	0.6058	0.71
0.3547	1.1	100	0.3875	0.84
0.2735	1.65	150	0.3429	0.87
0.1925	2.2	200	0.3658	0.87
0.1676	2.75	250	0.5335	0.83
0.1366	3.3	300	0.5710	0.81
0.1202	3.85	350	0.5037	0.84
0.0843	4.4	400	0.5798	0.83
0.086	4.95	450	0.9457	0.79
0.0589	5.49	500	1.1547	0.76
0.0599	6.04	550	0.8437	0.83
0.036	6.59	600	0.9878	0.78
0.0557	7.14	650	0.7223	0.86
0.041	7.69	700	0.7275	0.85
0.0256	8.24	750	0.7327	0.85
0.0273	8.79	800	0.7270	0.84
0.0165	9.34	850	0.8266	0.85
0.0154	9.89	900	0.7583	0.87
0.0075	10.44	950	0.8894	0.85
0.0073	10.99	1000	0.8858	0.85
0.0126	11.54	1050	0.9245	0.84
0.0047	12.09	1100	0.9335	0.84
0.0073	12.64	1150	0.9405	0.85
0.0112	13.19	1200	0.9801	0.84
0.0068	13.74	1250	0.9314	0.85

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.7
Tokenizers 0.14.1