anlp_t5_final_approach

X1in/anlp_t5_final_approach

anlp_t5_final_approach is a machine learning model from X1in. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Dec 31, 2025
Updated: Dec 31, 2025
SHA: 6b601fc0

Base models

google/flan-t5-base

Model card

From the Hugging Face model README

anlp_t5_final_approach

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: 0.8971

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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss
0.8457	1.3333	500	0.7601
0.7997	2.6667	1000	0.7440
0.7731	4.0	1500	0.7359
0.7562	5.3333	2000	0.7333
0.7469	6.6667	2500	0.7318

Framework versions

Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1

Library: transformers
Type: t5
License: apache-2.0
Created: Dec 31, 2025
Updated: Dec 31, 2025