chatbot – AI Model by arzans9 | AlphaNeural AI

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arzans9/
chatbot

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text-classification

generated_from_trainer

google-bert/bert-large-uncased

autotrain_compatible

endpoints_compatible

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chatbot

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

Loss: 0.6024
Accuracy: 0.8958
F1: 0.8910
Precision: 0.8846
Recall: 0.9295

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: 5e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
2.9886	10.0	50	2.5714	0.2708	0.1833	0.1547	0.2949
1.3584	20.0	100	1.1008	0.8542	0.8496	0.8622	0.9071
0.1639	30.0	150	0.6093	0.8958	0.8897	0.8910	0.9295
0.0136	40.0	200	0.6092	0.9167	0.9112	0.9071	0.9423
0.007	50.0	250	0.6024	0.8958	0.8910	0.8846	0.9295

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Tokenizers 0.15.2