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ThunBERT_bs64_lr4
damgomz/ThunBERT_bs64_lr4
ThunBERT_bs64_lr4 is a fill-mask model from damgomz. Use it when you need the model to fill a missing word. It is set up for transformers.
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614 MB on disk
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- May 15, 2024
- Updated
- May 17, 2024
- SHA
- c848ca59
Try a prompt
Model card
From the Hugging Face model README
Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 158953.8123600483 |
| Emissions (Co2eq in kg) | 0.1663746335150697 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 37.5 |
| CPU energy (kWh) | 1.87653561675366 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 1.6557595259199582 |
| Consumed energy (kWh) | 3.5322951426736116 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 4 |
| CPU model | Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz |
| GPU count | nan |
| GPU model | nan |
Environmental Impact (for one core)
| Metric | Value |
|---|---|
| CPU energy (kWh) | 0.30598608879309297 |
| Emissions (Co2eq in kg) | 0.062256909841018906 |
Note
15 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ThunBERT_bs64_lr4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 0.0005 |
| batch_size | 64 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 10263 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 6.820532 | 11.810026 |
| 0.5 | 4.147990 | 3.898213 |
| 1.0 | 3.784049 | 3.836403 |
| 1.5 | 7.045870 | 7.716833 |
| 2.0 | 7.670383 | 7.707286 |
| 2.5 | 7.666404 | 7.691573 |
| 3.0 | 7.656751 | 7.687526 |
| 3.5 | 7.654266 | 7.679237 |
| 4.0 | 7.644708 | 7.664175 |
| 4.5 | 7.641661 | 7.666334 |
| 5.0 | 7.638564 | 7.655856 |
| 5.5 | 7.625011 | 7.645496 |
| 6.0 | 7.626149 | 7.648783 |
- Task
- Fill-Mask
- Library
- transformers
- Type
- albert
- Languages
- en
- Created
- May 15, 2024
- Updated
- May 17, 2024