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results
osmanperviz/results
results is a machine learning model from osmanperviz. 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 16, 2024
- Updated
- Sep 16, 2024
- SHA
- 33f26ee0
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. -->
results
This model is a fine-tuned version of Salesforce/codet5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4923
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8427 | 0.0719 | 10 | 1.2732 |
| 1.161 | 0.1439 | 20 | 0.8768 |
| 1.0161 | 0.2158 | 30 | 0.8193 |
| 0.9054 | 0.2878 | 40 | 0.7536 |
| 0.8195 | 0.3597 | 50 | 0.7090 |
| 0.9785 | 0.4317 | 60 | 0.6815 |
| 0.8085 | 0.5036 | 70 | 0.6641 |
| 0.8913 | 0.5755 | 80 | 0.6521 |
| 0.6526 | 0.6475 | 90 | 0.6326 |
| 0.6447 | 0.7194 | 100 | 0.6177 |
| 0.6836 | 0.7914 | 110 | 0.6067 |
| 0.7824 | 0.8633 | 120 | 0.5950 |
| 0.5367 | 0.9353 | 130 | 0.5840 |
| 0.7856 | 1.0072 | 140 | 0.5763 |
| 0.6118 | 1.0791 | 150 | 0.5712 |
| 0.7442 | 1.1511 | 160 | 0.5639 |
| 0.5305 | 1.2230 | 170 | 0.5587 |
| 0.6777 | 1.2950 | 180 | 0.5507 |
| 0.5568 | 1.3669 | 190 | 0.5469 |
| 0.7629 | 1.4388 | 200 | 0.5446 |
| 0.5966 | 1.5108 | 210 | 0.5385 |
| 0.7105 | 1.5827 | 220 | 0.5335 |
| 0.7294 | 1.6547 | 230 | 0.5281 |
| 0.6798 | 1.7266 | 240 | 0.5233 |
| 0.55 | 1.7986 | 250 | 0.5189 |
| 0.6927 | 1.8705 | 260 | 0.5155 |
| 0.4219 | 1.9424 | 270 | 0.5123 |
| 0.6465 | 2.0144 | 280 | 0.5106 |
| 0.5013 | 2.0863 | 290 | 0.5093 |
| 0.6224 | 2.1583 | 300 | 0.5056 |
| 0.5155 | 2.2302 | 310 | 0.5040 |
| 0.4718 | 2.3022 | 320 | 0.5006 |
| 0.7149 | 2.3741 | 330 | 0.4984 |
| 0.5848 | 2.4460 | 340 | 0.4974 |
| 0.6697 | 2.5180 | 350 | 0.4959 |
| 0.438 | 2.5899 | 360 | 0.4958 |
| 0.7051 | 2.6619 | 370 | 0.4952 |
| 0.5555 | 2.7338 | 380 | 0.4941 |
| 0.6686 | 2.8058 | 390 | 0.4934 |
| 0.6081 | 2.8777 | 400 | 0.4928 |
| 0.5672 | 2.9496 | 410 | 0.4924 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Sep 16, 2024
- Updated
- Sep 16, 2024