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

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Veskic/
flan-t5-small-samsum

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0

text2text-generation

generated_from_trainer

google/flan-t5-small

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: 1.6754
eval_rouge1: 42.7098
eval_rouge2: 18.3566
eval_rougeL: 35.2282
eval_rougeLsum: 38.9027
eval_gen_len: 16.8474
eval_runtime: 23.9949
eval_samples_per_second: 34.132
eval_steps_per_second: 0.667
step: 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: 5e-05
train_batch_size: 52
eval_batch_size: 52
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Framework versions

Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.15.0
Tokenizers 0.15.0