Models – AI Model by aminahmed123 | AlphaNeural AI

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text2text-generation

generated_from_trainer

google/flan-t5-base

text-generation-inference

endpoints_compatible

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Models

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: nan
Rouge1: 0.1065
Rouge2: 0.0421
Rougel: 0.0844
Rougelsum: 0.0844
Gen Len: 16.6846

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: 4e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	0.1120	100	nan	0.1065	0.0421	0.0844	0.0844	16.6846
0.0	0.2240	200	nan	0.1065	0.0421	0.0844	0.0844	16.6846
0.0	0.3359	300	nan	0.1065	0.0421	0.0844	0.0844	16.6846
0.0	0.4479	400	nan	0.1065	0.0421	0.0844	0.0844	16.6846
0.0	0.5599	500	nan	0.1065	0.0421	0.0844	0.0844	16.6846
0.0	0.6719	600	nan	0.1065	0.0421	0.0844	0.0844	16.6846
0.0	0.7839	700	nan	0.1065	0.0421	0.0844	0.0844	16.6846
0.0	0.8959	800	nan	0.1065	0.0421	0.0844	0.0844	16.6846

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1