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t5-large-extraction-all-cnndm_2000-ep5
Zekunli/t5-large-extraction-all-cnndm_2000-ep5
t5-large-extraction-all-cnndm_2000-ep5 is a machine learning model from Zekunli. 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 2, 2023
- Updated
- Aug 2, 2023
- SHA
- 14aba11a
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-large-extraction-all-cnndm_2000-ep5
This model is a fine-tuned version of t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6897
- Hint Hit Num: 2.206
- Hint Precision: 0.4128
- Num: 5.254
- Gen Len: 19.0
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: 24
- eval_batch_size: 72
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Hint Hit Num | Hint Precision | Num | Gen Len |
|---|---|---|---|---|---|---|---|
| 2.4295 | 1.19 | 100 | 1.7922 | 2.144 | 0.3954 | 5.304 | 19.0 |
| 1.9095 | 2.38 | 200 | 1.7152 | 2.194 | 0.4086 | 5.26 | 18.998 |
| 1.7961 | 3.57 | 300 | 1.6967 | 2.244 | 0.4175 | 5.264 | 19.0 |
| 1.7561 | 4.76 | 400 | 1.6905 | 2.21 | 0.4135 | 5.252 | 19.0 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Aug 2, 2023
- Updated
- Aug 2, 2023