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ThunBERT_bs8_lr4
damgomz/ThunBERT_bs8_lr4
ThunBERT_bs8_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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236 MB on disk
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Repo makeup
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- May 15, 2024
- Updated
- May 18, 2024
- SHA
- 59e3480f
Try a prompt
Model card
From the Hugging Face model README
Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 170213.14050722122 |
| Emissions (Co2eq in kg) | 0.1781595473385588 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 37.5 |
| CPU energy (kWh) | 2.0094578674973738 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 1.7730424475396678 |
| Consumed energy (kWh) | 3.782500315037023 |
| 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) | 0.32766029547640085 |
| Emissions (Co2eq in kg) | 0.06666681336532831 |
Note
15 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ThunBERT_bs8_lr4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 0.0005 |
| batch_size | 8 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 82827 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 6.835651 | 13.557409 |
| 0.5 | 7.894119 | 7.782390 |
| 1.0 | 7.756104 | 7.761859 |
| 1.5 | 7.724590 | 7.737085 |
| 2.0 | 7.705112 | 7.713643 |
- Task
- Fill-Mask
- Library
- transformers
- Type
- albert
- Languages
- en
- Created
- May 15, 2024
- Updated
- May 18, 2024