frame_classification_longformer – AI Model by AriyanH22 | AlphaNeural AI

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AriyanH22/
frame_classification_longformer

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text-classification

generated_from_trainer

allenai/longformer-base-4096

autotrain_compatible

endpoints_compatible

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framing_classification_longformer

This model is a fine-tuned version of allenai/longformer-base-4096 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4961
Accuracy: 0.9068
F1: 0.9452
Precision: 0.9265
Recall: 0.9646

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: 1
eval_batch_size: 1
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	F1	Precision	Recall
0.8485	1.0	5152	0.8574	0.8323	0.9085	0.8323	1.0
0.7968	2.0	10304	0.8441	0.8323	0.9085	0.8323	1.0
0.847	3.0	15456	0.8049	0.8323	0.9085	0.8323	1.0
0.8677	4.0	20608	0.7919	0.8323	0.9085	0.8323	1.0
0.8778	5.0	25760	0.8980	0.8323	0.9085	0.8323	1.0
0.7563	6.0	30912	0.8299	0.8323	0.9085	0.8323	1.0
0.661	7.0	36064	0.6065	0.8882	0.9357	0.8973	0.9776
0.8207	8.0	41216	0.5387	0.8975	0.9410	0.9038	0.9813
0.6872	9.0	46368	0.5960	0.8602	0.9212	0.8680	0.9813
0.4596	10.0	51520	0.4961	0.9068	0.9452	0.9265	0.9646

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3