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Flan-T5-finetuned-cti2_NER-RE_v1_0_0_full-bits
III-CSTI/Flan-T5-finetuned-cti2_NER-RE_v1_0_0_full-bits
Flan-T5-finetuned-cti2_NER-RE_v1_0_0_full-bits is a machine learning model from III-CSTI. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Nov 24, 2023
- Updated
- Nov 24, 2023
- SHA
- e96dfba2
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. -->
Flan-T5-finetuned-cti2_NER-RE_v1_0_0_full-bits-1121
This model is a fine-tuned version of HoangCuongNguyen/Flan-T5-finetuned-cti2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1824
- Rouge1: 65.2986
- Rouge2: 58.7857
- Rougel: 64.8007
- Rougelsum: 64.8791
- Gen Len: 18.9271
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.5677 | 1.0 | 430 | 0.4877 | 55.0379 | 39.7155 | 52.8487 | 52.9528 | 18.9062 |
| 0.4359 | 2.0 | 860 | 0.2844 | 59.6863 | 50.2141 | 58.7456 | 59.0242 | 18.9688 |
| 0.1506 | 3.0 | 1290 | 0.1983 | 63.4922 | 55.1698 | 63.0887 | 63.1894 | 18.9271 |
| 0.2049 | 4.0 | 1720 | 0.1784 | 64.731 | 58.0105 | 64.2883 | 64.3686 | 18.9479 |
| 0.126 | 5.0 | 2150 | 0.1824 | 65.2986 | 58.7857 | 64.8007 | 64.8791 | 18.9271 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- Nov 24, 2023
- Updated
- Nov 24, 2023