bw58_cnnsum_model_valid – AI Model by bw58 | AlphaNeural AI

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bw58_cnnsum_model_valid

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text2text-generation

generated_from_trainer

google/flan-t5-small

text-generation-inference

endpoints_compatible

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

Loss: 1.7407
Rouge1: 0.3886
Rouge2: 0.1721
Rougel: 0.2778
Rougelsum: 0.2775
Gen Len: 79.7623

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: 30
eval_batch_size: 30
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.9778	1.0	424	1.7454	0.3867	0.1701	0.2765	0.2764	78.7952
1.9569	2.0	848	1.7433	0.3896	0.1732	0.2781	0.278	80.2033
1.9548	3.0	1272	1.7400	0.3868	0.1708	0.2762	0.276	80.0837
1.9629	4.0	1696	1.7407	0.3886	0.1721	0.2778	0.2775	79.7623

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Tokenizers 0.15.2