testing_model – AI Model by eatlas | AlphaNeural AI

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eatlas/
testing_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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testing_model

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

Loss: 3.8728
Rouge1: 0.132
Rouge2: 0.0707
Rougel: 0.132
Rougelsum: 0.132
Gen Len: 19.0

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	1	4.0915	0.132	0.0707	0.132	0.132	19.0
No log	2.0	2	3.9720	0.132	0.0707	0.132	0.132	19.0
No log	3.0	3	3.9056	0.132	0.0707	0.132	0.132	19.0
No log	4.0	4	3.8728	0.132	0.0707	0.132	0.132	19.0

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2