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Fine_Tuned_T5_small_for_DailyDialog
wyuancs/Fine_Tuned_T5_small_for_DailyDialog
Fine_Tuned_T5_small_for_DailyDialog is a machine learning model from wyuancs. 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
- Aug 27, 2023
- Updated
- Aug 27, 2023
- SHA
- 3418b3b8
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. -->
Fine_Tuned_T5_small_for_DailyDialog
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5891
- Rouge1: 11.0459
- Rouge2: 2.2404
- Rougel: 10.5072
- Rougelsum: 10.7781
- Bleu: 0.8903
- Gen Len: 7.111
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len |
|---|---|---|---|---|---|---|---|---|---|
| 2.0809 | 1.0 | 313 | 1.7698 | 9.3634 | 1.6744 | 8.9437 | 9.0705 | 0.6728 | 8.217 |
| 1.4771 | 2.0 | 626 | 1.3016 | 10.1104 | 1.7728 | 9.6869 | 9.8809 | 0.0 | 6.527 |
| 1.2084 | 3.0 | 939 | 1.0781 | 10.3142 | 2.0722 | 9.8421 | 10.0426 | 0.7095 | 6.272 |
| 1.0171 | 4.0 | 1252 | 0.9219 | 10.299 | 2.107 | 9.8825 | 10.1102 | 0.7598 | 6.246 |
| 0.9029 | 5.0 | 1565 | 0.7993 | 10.5767 | 2.0701 | 10.0645 | 10.3152 | 0.88 | 6.94 |
| 0.7979 | 6.0 | 1878 | 0.7169 | 10.618 | 2.0406 | 10.0889 | 10.3652 | 0.9014 | 7.047 |
| 0.7266 | 7.0 | 2191 | 0.6627 | 10.8584 | 2.1613 | 10.292 | 10.575 | 0.8766 | 6.769 |
| 0.692 | 8.0 | 2504 | 0.6231 | 11.2891 | 2.2669 | 10.7278 | 11.0423 | 0.9933 | 7.273 |
| 0.6724 | 9.0 | 2817 | 0.5956 | 11.2029 | 2.2399 | 10.6659 | 10.9419 | 0.9988 | 7.512 |
| 0.65 | 10.0 | 3130 | 0.5891 | 11.0459 | 2.2404 | 10.5072 | 10.7781 | 0.8903 | 7.111 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Aug 27, 2023
- Updated
- Aug 27, 2023