1.1 KiB
1.1 KiB
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t5_results
This model is a fine-tuned version of out/t5 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.2139
- eval_accuracy: 0.4675
- eval_runtime: 40.5651
- eval_samples_per_second: 49.303
- eval_steps_per_second: 6.163
- 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: 2e-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
- training_steps: 2500
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2