Bart_Complaint_V2 – AI Model by zera09 | AlphaNeural AI

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zera09/
Bart_Complaint_V2

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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Bart_Complaint_V2

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

Loss: 0.1850

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: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3225	1.0	212	0.2498
0.2649	2.0	424	0.2001
0.195	3.0	636	0.1867
0.1496	4.0	848	0.1950
0.1335	5.0	1060	0.1850
0.1098	6.0	1272	0.1989
0.0933	7.0	1484	0.2045
0.0721	8.0	1696	0.2211
0.0585	9.0	1908	0.2243
0.057	10.0	2120	0.2335

Framework versions

Transformers 4.41.1
Pytorch 1.13.1+cu117
Datasets 2.19.1
Tokenizers 0.19.1