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fp_bs64_lr5_x2
damgomz/fp_bs64_lr5_x2
fp_bs64_lr5_x2 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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1 GB on disk
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Repo makeup
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.safetensors73.2 MB · 97%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- May 23, 2024
- Updated
- May 25, 2024
- SHA
- 44a07268
Try a prompt
Model card
From the Hugging Face model README
Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 145251.08827066422 |
| Emissions (Co2eq in kg) | 0.1092730495378651 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 15.0 |
| CPU energy (kWh) | 1.714765971766408 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.6052070550878853 |
| Consumed energy (kWh) | 2.319973026854317 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 6 |
| 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) | 0.2796083449210286 |
| Emissions (Co2eq in kg) | 0.05689000957267681 |
Note
23 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | fp_bs64_lr5_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-05 |
| 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 | 10349 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 15.192704 | 11.464602 |
| 0.5 | 3.473664 | 3.040166 |
| 1.0 | 2.933131 | 2.870918 |
| 1.5 | 2.785708 | 2.762562 |
| 2.0 | 2.695953 | 2.685881 |
| 2.5 | 2.624580 | 2.636662 |
| 3.0 | 2.587490 | 2.600750 |
| 3.5 | 2.531073 | 2.541152 |
| 4.0 | 2.497039 | 2.520043 |
| 4.5 | 2.460271 | 2.480024 |
| 5.0 | 2.427286 | 2.458232 |
| 5.5 | 2.396717 | 2.434840 |
| 6.0 | 2.382608 | 2.422710 |
- Task
- Fill-Mask
- Library
- transformers
- Type
- albert
- Languages
- en
- Created
- May 23, 2024
- Updated
- May 25, 2024