touring – AI Model by acrowth | AlphaNeural AI

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acrowth/
touring

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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touring

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: 1.3199
Rouge1: 42.1053
Rouge2: 0.0
Rougel: 42.1053
Rougelsum: 42.1053
Gen Len: 5.8947

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	49	1.5630	35.2632	0.0	35.2632	35.2632	5.7474
No log	2.0	98	1.3838	41.5789	0.0	41.5789	41.5789	5.9316
No log	3.0	147	1.3419	41.0526	0.0	41.0526	41.0526	5.8684
No log	4.0	196	1.3239	41.5789	0.0	41.5789	41.5789	5.8526
No log	5.0	245	1.3199	42.1053	0.0	42.1053	42.1053	5.8947

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Tokenizers 0.13.2