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question-context-random-to10-p-all_q – AI Model by natope | AlphaNeural AI
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natope
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question-context-random-to10-p-all_q
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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question-context-random-to10-p-all_q
This model is a fine-tuned version of
google/mt5-small
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0532
eval_rouge1: 0.9979
eval_rouge2: 0.0
eval_rougeL: 0.9979
eval_rougeLsum: 0.9979
eval_gen_len: 2.0
eval_runtime: 410.5021
eval_samples_per_second: 9.135
eval_steps_per_second: 9.135
epoch: 1.0
step: 11248
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
