assignment2_meher_test2 – AI Model by mpalaval | AlphaNeural AI

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mpalaval/
assignment2_meher_test2

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token-classification

generated_from_trainer

google-bert/bert-base-cased

autotrain_compatible

endpoints_compatible

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assignment2_meher_test2

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: 0.5440
Precision: 0.2070
Recall: 0.2440
F1: 0.2240
Accuracy: 0.9244

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	347	0.2833	0.1672	0.1787	0.1728	0.9252
0.2912	2.0	694	0.3104	0.1923	0.2062	0.1990	0.9262
0.1166	3.0	1041	0.3258	0.1973	0.2474	0.2195	0.9235
0.1166	4.0	1388	0.3608	0.1818	0.3024	0.2271	0.9131
0.054	5.0	1735	0.4753	0.2093	0.2165	0.2128	0.9239
0.0277	6.0	2082	0.4959	0.2181	0.2405	0.2288	0.9246
0.0277	7.0	2429	0.5534	0.2331	0.1890	0.2087	0.9309
0.0159	8.0	2776	0.5215	0.2281	0.2509	0.2390	0.9254
0.0091	9.0	3123	0.5522	0.2244	0.2405	0.2322	0.9256
0.0091	10.0	3470	0.5440	0.2070	0.2440	0.2240	0.9244

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1