flan-t5-base-nvidia – AI Model by ajsbsd | AlphaNeural AI

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ajsbsd/
flan-t5-base-nvidia

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text2text-generation

generated_from_trainer

google/flan-t5-base

text-generation-inference

endpoints_compatible

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flan-t5-base-nvidia

This model is a fine-tuned version of google/flan-t5-base trained on ajsbsd/datasets/nvidia-qa

Imported from Kaggle (https://www.kaggle.com/datasets/gondimalladeepesh/nvidia-documentation-question-and-answer-pairs)

Q&A dataset for LLM finetuning about the NVIDIA about SDKs and blogs

This model is a fine-tuned version of google/flan-t5-small trained on

It achieves the following results on the evaluation set:

Loss: 1.7117
Rouge1: 0.4290
Rouge2: 0.2696
Rougel: 0.3880
Rougelsum: 0.3928

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: 0.0003
train_batch_size: 8
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.4618	1.0	711	1.9707	0.3886	0.2185	0.3472	0.3522
2.0575	2.0	1422	1.8104	0.4066	0.2407	0.3647	0.3701
1.5839	3.0	2133	1.7351	0.4185	0.2558	0.3770	0.3821
1.4314	4.0	2844	1.7079	0.4252	0.2655	0.3840	0.3892
1.2582	5.0	3555	1.7117	0.4290	0.2696	0.3880	0.3928

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.14.7
Tokenizers 0.15.0