Bart_Complaint_V3 – AI Model by zera09 | AlphaNeural AI

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zera09/
Bart_Complaint_V3

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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Bart_Complaint_V3

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: 0.1765

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
0.3153	1.0	212	0.2400
0.2527	2.0	424	0.2025
0.1983	3.0	636	0.1864
0.1487	4.0	848	0.1765
0.1399	5.0	1060	0.1768
0.1169	6.0	1272	0.1841
0.0955	7.0	1484	0.1861
0.0835	8.0	1696	0.2001
0.0695	9.0	1908	0.2039
0.054	10.0	2120	0.2093

Framework versions

Transformers 4.41.1
Pytorch 1.13.1+cu117
Datasets 2.19.1
Tokenizers 0.19.1