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ten_epoch
vsamuel/ten_epoch
ten_epoch is a machine learning model from vsamuel. 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
- Dec 7, 2023
- Updated
- Dec 7, 2023
- SHA
- d67ed9dd
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. -->
ten_epoch
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5955
- Rouge1: 0.3082
- Rouge2: 0.1683
- Rougel: 0.2764
- Rougelsum: 0.2753
- Gen Len: 17.35
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: 8
- eval_batch_size: 8
- seed: 42
- 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 | 1.0 | 107 | 3.2228 | 0.1126 | 0.0184 | 0.0993 | 0.0988 | 18.45 |
| No log | 2.0 | 214 | 2.9077 | 0.1374 | 0.0353 | 0.1209 | 0.1209 | 17.98 |
| No log | 3.0 | 321 | 2.7883 | 0.2181 | 0.0901 | 0.1951 | 0.1944 | 17.38 |
| No log | 4.0 | 428 | 2.7240 | 0.2353 | 0.1079 | 0.2106 | 0.2097 | 17.25 |
| 3.0648 | 5.0 | 535 | 2.6765 | 0.2634 | 0.1289 | 0.2375 | 0.2373 | 17.41 |
| 3.0648 | 6.0 | 642 | 2.6428 | 0.2724 | 0.1343 | 0.2482 | 0.2475 | 17.45 |
| 3.0648 | 7.0 | 749 | 2.6210 | 0.2886 | 0.1473 | 0.2559 | 0.2552 | 17.65 |
| 3.0648 | 8.0 | 856 | 2.6058 | 0.3013 | 0.1627 | 0.2701 | 0.269 | 17.43 |
| 3.0648 | 9.0 | 963 | 2.5978 | 0.3053 | 0.1667 | 0.2737 | 0.2722 | 17.45 |
| 2.6022 | 10.0 | 1070 | 2.5955 | 0.3082 | 0.1683 | 0.2764 | 0.2753 | 17.35 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 7, 2023
- Updated
- Dec 7, 2023