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t5_recommendation_sports_equipment_english
testing244/t5_recommendation_sports_equipment_english
t5_recommendation_sports_equipment_english is a machine learning model from testing244. 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
- t5
- Access
- Public
- Created
- Sep 26, 2023
- Updated
- Sep 26, 2023
- SHA
- 1a174ae4
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_recommendation_sports_equipment_english
This model is a fine-tuned version of t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4020
- Rouge1: 57.9365
- Rouge2: 47.6190
- Rougel: 57.9365
- Rougelsum: 57.9365
- Gen Len: 4.1429
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 0.96 | 6 | 7.7857 | 20.2721 | 10.3896 | 20.0454 | 20.9524 | 11.3810 |
| No log | 1.92 | 12 | 3.1922 | 20.0 | 4.7619 | 20.4762 | 20.4762 | 3.1905 |
| No log | 2.88 | 18 | 0.8028 | 5.5556 | 0.0 | 5.5556 | 5.5556 | 3.0 |
| No log | 4.0 | 25 | 0.7207 | 32.8571 | 19.0476 | 32.9365 | 34.0476 | 3.2381 |
| No log | 4.96 | 31 | 0.5217 | 50.3968 | 42.8571 | 50.0 | 50.7937 | 3.9524 |
| No log | 5.92 | 37 | 0.4420 | 57.9365 | 47.6190 | 57.9365 | 57.9365 | 4.0476 |
| No log | 6.88 | 43 | 0.4694 | 67.4603 | 61.9048 | 67.4603 | 67.4603 | 4.0 |
| No log | 8.0 | 50 | 0.4408 | 57.9365 | 47.6190 | 57.9365 | 57.9365 | 4.1429 |
| No log | 8.96 | 56 | 0.4269 | 57.9365 | 47.6190 | 57.9365 | 57.9365 | 4.1429 |
| No log | 9.6 | 60 | 0.4020 | 57.9365 | 47.6190 | 57.9365 | 57.9365 | 4.1429 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.8.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Sep 26, 2023
- Updated
- Sep 26, 2023