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t5-base-wikisplit-finetuned-requirements
Jonash01/t5-base-wikisplit-finetuned-requirements
t5-base-wikisplit-finetuned-requirements is a machine learning model from Jonash01. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Apr 4, 2023
- Updated
- Apr 4, 2023
- SHA
- ec5aa115
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
t5-base-wikisplit-finetuned-requirements
This model is a fine-tuned version of flax-community/t5-base-wikisplit on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 40 | 0.0003 |
| No log | 2.0 | 80 | 0.0000 |
| No log | 3.0 | 120 | 0.0000 |
| No log | 4.0 | 160 | 0.0000 |
| No log | 5.0 | 200 | 0.0000 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- Created
- Apr 4, 2023
- Updated
- Apr 4, 2023