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FingerFriend-t5-base-v1
a2ran/FingerFriend-t5-base-v1
FingerFriend-t5-base-v1 is a machine learning model from a2ran. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Sep 19, 2023
- Updated
- Oct 2, 2023
- SHA
- 494c0eb7
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. -->
FingerFriend-t5-base-v1
This model is a fine-tuned version of eenzeenee/t5-base-korean-summarization on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6214
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2945 | 1.0 | 1735 | 0.7757 |
| 0.8016 | 2.0 | 3470 | 0.6987 |
| 0.7058 | 3.0 | 5205 | 0.6617 |
| 0.6402 | 4.0 | 6940 | 0.6387 |
| 0.5864 | 5.0 | 8675 | 0.6283 |
| 0.5476 | 6.0 | 10410 | 0.6214 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- Created
- Sep 19, 2023
- Updated
- Oct 2, 2023