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wikihow_t5small_LoRA_fine_tuned – AI Model by rohitmacherla3 | AlphaNeural AI
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wikihow_t5small_LoRA_fine_tuned
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
wikihow
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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wikihow_t5small_LoRA_fine_tuned
This model is a fine-tuned version of
t5-small
on the wikihow dataset. It achieves the following results on the evaluation set:
Loss: 0.2557
BLEU: 0.34
Rouge1: 0.33
Rouge2: 0.065
RougeL: 0.18
Intended uses & limitations
This work is the final project of an academic Natural Language Processing course
Training and evaluation data
wikiHow data consisting of the below details:
Training data: 20000 datapoints
Evaluation data: 5577 datapoints
Data has below columns:
text: actual text of the article
headline: concatenation of all the article headlines
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4494
1.0
1250
0.2684
0.2821
2.0
2500
0.2557
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
