anlp_t5_v2 – AI Model by X1in | AlphaNeural AI

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X1in/
anlp_t5_v2

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text2text-generation

generated_from_trainer

google/flan-t5-base

text-generation-inference

endpoints_compatible

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anlp_t5_v2

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: 0.8949

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
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: 0.05
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.8896	1.0	313	0.9200
0.8513	2.0	626	0.9132
0.8236	3.0	939	0.9006
0.8163	4.0	1252	0.8994
0.7875	5.0	1565	0.8965
0.7822	6.0	1878	0.8953
0.7772	7.0	2191	0.8955
0.7765	8.0	2504	0.8952
0.7633	9.0	2817	0.8953
0.7634	10.0	3130	0.8949

Framework versions

Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1