bart-large-mnli-Kaggle-Science-LLM-finetuned – AI Model by satyanshu404 | AlphaNeural AI

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satyanshu404/
bart-large-mnli-Kaggle-Science-LLM-finetuned

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text-classification

generated_from_trainer

facebook/bart-large-mnli

autotrain_compatible

endpoints_compatible

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bart-large-mnli-Kaggle-Science-LLM-finetuned

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

Loss: 2.7109

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: 1
eval_batch_size: 1
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
0.7865	1.0	800	1.1187
0.6785	2.0	1600	1.2005
0.774	3.0	2400	1.1685
0.4621	4.0	3200	1.3130
0.4138	5.0	4000	2.2119
0.3162	6.0	4800	2.0261
0.2778	7.0	5600	1.9403
0.2476	8.0	6400	2.5232
0.1718	9.0	7200	2.6737
0.0869	10.0	8000	2.7109

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3