flan-t5-answer-rs2

joel4899/flan-t5-answer-rs2

flan-t5-answer-rs2 is a machine learning model from joel4899. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: May 14, 2025
Updated: May 14, 2025
SHA: 983d916f

Base models

google/flan-t5-base

Model card

From the Hugging Face model README

flan-t5-answer-rs2

This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 37.2772
Bleu: 0.0254
Exact Match: 0.0

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
No log	1.0	15	44.0235	0.0221
No log	2.0	30	41.3461	0.0227
No log	3.0	45	37.9412	0.0233

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

Library: transformers
Type: t5
License: apache-2.0
Created: May 14, 2025
Updated: May 14, 2025