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flan-t5-qg-SQUAD-tarek-test – AI Model by tarek23 | AlphaNeural AI
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flan-t5-qg-SQUAD-tarek-test
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
squad
apache-2.0
text-generation-inference
endpoints_compatible
us
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flan-t5-QG-SQUAD-tarek-test
This model is a fine-tuned version of
google/flan-t5-base
on the squad dataset. It achieves the following results on the evaluation set:
eval_loss: 0.5632
eval_rouge1: 52.9357
eval_rouge2: 30.2806
eval_rougeL: 48.9079
eval_rougeLsum: 48.8755
eval_gen_len: 14.3551
eval_meteor: {'meteor': 0.4807566298868249}
eval_bleu: {'bleu': 0.21467065200589103, 'precisions': [0.5298697100577371, 0.2711489429248886, 0.1735068216830882, 0.11647438392106155], 'brevity_penalty': 0.9247869207061962, 'length_ratio': 0.9274786591713512, 'translation_length': 111367, 'reference_length': 120075}
eval_runtime: 950.2215
eval_samples_per_second: 11.124
eval_steps_per_second: 1.391
epoch: 5.0
step: 54750
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: 6
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
