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projekt-glebokie/models/t5_v1_1
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s444501 a0a10fe18e T5
2023-02-12 15:22:23 +01:00
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all_results.json T5 2023-02-12 15:22:23 +01:00
config.json T5 2023-02-12 15:22:23 +01:00
eval_results.json T5 2023-02-12 15:22:23 +01:00
generated_predictions.txt T5 2023-02-12 15:22:23 +01:00
generation_config.json T5 2023-02-12 15:22:23 +01:00
predict_results.json T5 2023-02-12 15:22:23 +01:00
pytorch_model.bin T5 2023-02-12 15:22:23 +01:00
README.md T5 2023-02-12 15:22:23 +01:00
special_tokens_map.json T5 2023-02-12 15:22:23 +01:00
spiece.model T5 2023-02-12 15:22:23 +01:00
tokenizer_config.json T5 2023-02-12 15:22:23 +01:00
tokenizer.json T5 2023-02-12 15:22:23 +01:00
train_results.json T5 2023-02-12 15:22:23 +01:00
trainer_state.json T5 2023-02-12 15:22:23 +01:00
training_args.bin T5 2023-02-12 15:22:23 +01:00

README.md

language license tags metrics model-index
text
label
apache-2.0
generated_from_trainer
bleu
accuracy
name results
t5_v1_1

t5_v1_1

This model is a fine-tuned version of google/t5-v1_1-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5495
  • Bleu: 0.0
  • Accuracy: 1.0
  • Gen Len: 2.0

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: 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: 1.0

Training results

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2