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plt5-base-finetuned-onet
Adamas23/plt5-base-finetuned-onet
plt5-base-finetuned-onet is a machine learning model from Adamas23. 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. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- cc-by-4.0
- Model type
- t5
- Access
- Public
- Created
- Jan 4, 2024
- Updated
- Jan 4, 2024
- SHA
- 332be6ee
Base models
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. -->
plt5-base-finetuned-onet
This model is a fine-tuned version of allegro/plt5-base on the None dataset.
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | P | R | F1 | Gen Len |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 250 | nan | 62.1748 | 60.3819 | 61.226 | 18.44 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- cc-by-4.0
- Created
- Jan 4, 2024
- Updated
- Jan 4, 2024