bertuncased_3epoch – AI Model by dianamihalache27 | AlphaNeural AI

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dianamihalache27/
bertuncased_3epoch

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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bertuncased_3epoch

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

Loss: 1.1388
Accuracy: 0.7478
F1: 0.4337
Precision: 0.6091
Recall: 0.3367
Precision Sarcastic: 0.6091
Recall Sarcastic: 0.3367
F1 Sarcastic: 0.4337

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Precision Sarcastic	Recall Sarcastic	F1 Sarcastic
No log	1.0	347	0.5810	0.7161	0.0296	0.75	0.0151	0.75	0.0151	0.0296
0.5249	2.0	694	0.5814	0.7435	0.4639	0.5789	0.3869	0.5789	0.3869	0.4639
0.2724	3.0	1041	1.1388	0.7478	0.4337	0.6091	0.3367	0.6091	0.3367	0.4337

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1