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T5_base_title_v4
ashishkgpian/T5_base_title_v4
T5_base_title_v4 is a text generation model from ashishkgpian. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Mar 9, 2024
- Updated
- Mar 9, 2024
- SHA
- fce679b4
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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. -->
T5_base_title_v4
This model is a fine-tuned version of ashishkgpian/astromer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2991
- Rouge1: 0.4572
- Rouge2: 0.2619
- Rougel: 0.4024
- Rougelsum: 0.4025
- Gen Len: 16.7242
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
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.5071 | 1.0 | 4038 | 1.2991 | 0.4572 | 0.2619 | 0.4024 | 0.4025 | 16.7242 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
- Task
- Text Generation
- Library
- transformers
- Type
- t5
- Created
- Mar 9, 2024
- Updated
- Mar 9, 2024