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long-t5-local-base-finetuned-justification-v01
satyanshu404/long-t5-local-base-finetuned-justification-v01
long-t5-local-base-finetuned-justification-v01 is a machine learning model from satyanshu404. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- longt5
- Access
- Public
- Created
- Mar 26, 2024
- Updated
- Mar 26, 2024
- SHA
- 37365932
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. -->
long-t5-local-base-finetuned-justification-v01
This model is a fine-tuned version of google/long-t5-local-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2782
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.0215 | 1.0 | 676 | 2.2439 |
| 1.8427 | 2.0 | 1352 | 1.9667 |
| 1.4788 | 3.0 | 2028 | 1.8219 |
| 1.4318 | 4.0 | 2704 | 1.7180 |
| 1.36 | 5.0 | 3380 | 1.6445 |
| 1.2795 | 6.0 | 4056 | 1.5939 |
| 1.2306 | 7.0 | 4732 | 1.5489 |
| 1.2008 | 8.0 | 5408 | 1.5060 |
| 1.1682 | 9.0 | 6084 | 1.4751 |
| 1.1206 | 10.0 | 6760 | 1.4442 |
| 1.1637 | 11.0 | 7436 | 1.4284 |
| 1.06 | 12.0 | 8112 | 1.4042 |
| 1.0504 | 13.0 | 8788 | 1.3878 |
| 1.0627 | 14.0 | 9464 | 1.3797 |
| 0.9759 | 15.0 | 10140 | 1.3627 |
| 0.9984 | 16.0 | 10816 | 1.3512 |
| 0.9694 | 17.0 | 11492 | 1.3408 |
| 0.926 | 18.0 | 12168 | 1.3294 |
| 0.9894 | 19.0 | 12844 | 1.3268 |
| 0.9264 | 20.0 | 13520 | 1.3209 |
| 0.9287 | 21.0 | 14196 | 1.3170 |
| 0.9005 | 22.0 | 14872 | 1.3068 |
| 0.8925 | 23.0 | 15548 | 1.3105 |
| 0.9153 | 24.0 | 16224 | 1.3091 |
| 0.867 | 25.0 | 16900 | 1.2988 |
| 0.8946 | 26.0 | 17576 | 1.2933 |
| 0.8671 | 27.0 | 18252 | 1.2958 |
| 0.8247 | 28.0 | 18928 | 1.2906 |
| 0.8585 | 29.0 | 19604 | 1.2899 |
| 0.8453 | 30.0 | 20280 | 1.2951 |
| 0.8339 | 31.0 | 20956 | 1.2893 |
| 0.8483 | 32.0 | 21632 | 1.2915 |
| 0.8026 | 33.0 | 22308 | 1.2864 |
| 0.8126 | 34.0 | 22984 | 1.2813 |
| 0.8384 | 35.0 | 23660 | 1.2788 |
| 0.7992 | 36.0 | 24336 | 1.2803 |
| 0.8104 | 37.0 | 25012 | 1.2777 |
| 0.8145 | 38.0 | 25688 | 1.2850 |
| 0.7612 | 39.0 | 26364 | 1.2812 |
| 0.7684 | 40.0 | 27040 | 1.2773 |
| 0.7829 | 41.0 | 27716 | 1.2786 |
| 0.775 | 42.0 | 28392 | 1.2751 |
| 0.8112 | 43.0 | 29068 | 1.2783 |
| 0.7733 | 44.0 | 29744 | 1.2774 |
| 0.7525 | 45.0 | 30420 | 1.2795 |
| 0.7667 | 46.0 | 31096 | 1.2785 |
| 0.7734 | 47.0 | 31772 | 1.2765 |
| 0.7712 | 48.0 | 32448 | 1.2775 |
| 0.7764 | 49.0 | 33124 | 1.2775 |
| 0.783 | 50.0 | 33800 | 1.2782 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- longt5
- License
- apache-2.0
- Created
- Mar 26, 2024
- Updated
- Mar 26, 2024