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flan-t5-small-samsum – AI Model by NowaBwagel0 | AlphaNeural AI

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NowaBwagel0/
flan-t5-small-samsum

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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flan-t5-small-samsum

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

eval_loss: 1.6822
eval_rouge1: 42.7873
eval_rouge2: 18.9262
eval_rougeL: 35.6525
eval_rougeLsum: 39.2395
eval_gen_len: 17.2967
eval_runtime: 51.0444
eval_samples_per_second: 16.045
eval_steps_per_second: 2.018
epoch: 0.21
step: 392

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

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3