flashcarder – AI Model by dpeelen9 | AlphaNeural AI

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dpeelen9/
flashcarder

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text2text-generation

generated_from_trainer

google/flan-t5-base

text-generation-inference

endpoints_compatible

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flashcarder

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1990

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: 4
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.474	1.0	1004	0.2415
0.2877	2.0	2008	0.2146
0.2514	3.0	3012	0.2101
0.2311	4.0	4016	0.2050
0.2131	5.0	5020	0.2004
0.2033	6.0	6024	0.2000
0.1932	7.0	7028	0.1983
0.1849	8.0	8032	0.1997
0.1813	9.0	9036	0.1990

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1