assignment2_meher_test3 – AI Model by mpalaval | AlphaNeural AI

You can deploy this model and start earning money today!

mpalaval/
assignment2_meher_test3

like

0

token-classification

generated_from_trainer

google-bert/bert-base-cased

autotrain_compatible

endpoints_compatible

Views

No views yet

assignment2_meher_test3

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

Loss: 0.5370
Precision: 0.1642
Recall: 0.4158
F1: 0.2354
Accuracy: 0.8892

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: 8
eval_batch_size: 8
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	Precision	Recall	F1	Accuracy
No log	1.0	149	0.3231	0.1406	0.2405	0.1774	0.9098
No log	2.0	298	0.2897	0.1711	0.3505	0.2300	0.9103
No log	3.0	447	0.3376	0.1715	0.3849	0.2373	0.9029
0.3658	4.0	596	0.3870	0.1669	0.4261	0.2398	0.8887
0.3658	5.0	745	0.4245	0.1542	0.3952	0.2218	0.8884
0.3658	6.0	894	0.4291	0.1815	0.3986	0.2495	0.9024
0.0735	7.0	1043	0.5257	0.1530	0.4296	0.2256	0.8820
0.0735	8.0	1192	0.5211	0.1680	0.4261	0.2410	0.8900
0.0735	9.0	1341	0.5810	0.1560	0.4502	0.2317	0.8784
0.0735	10.0	1490	0.5370	0.1642	0.4158	0.2354	0.8892

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1