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fp_bs8_lr5_x2
damgomz/fp_bs8_lr5_x2
fp_bs8_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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952 MB on disk
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.safetensors73.2 MB · 97%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- Jun 25, 2024
- Updated
- Jun 27, 2024
- SHA
- a17cbe1b
Try a prompt
Model card
From the Hugging Face model README
Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 178032.19567131996 |
| Emissions (Co2eq in kg) | 0.1339344417550381 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 15.0 |
| CPU energy (kWh) | 2.101764648015133 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.7417937001099204 |
| Consumed energy (kWh) | 2.843558348125055 |
| 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) | 0.3427119766672909 |
| Emissions (Co2eq in kg) | 0.06972927663793366 |
Note
24 juin 2024 !
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | fp_bs8_lr5_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-05 |
| 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 | 82155 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 14.030964 | 12.844445 |
| 0.5 | 7.084364 | 7.027704 |
| 1.0 | 7.006338 | 7.001563 |
| 1.5 | 6.987837 | 7.006575 |
| 2.0 | 6.985817 | 6.992814 |
| 2.5 | 6.978425 | 6.975868 |
| 3.0 | 6.978445 | 6.985299 |
| 3.5 | 6.971340 | 6.978874 |
| 4.0 | 6.967529 | 6.974467 |
| 4.5 | 6.971424 | 6.964084 |
| 5.0 | 6.935638 | 6.922034 |
| 5.5 | 6.917486 | 6.915976 |
| 6.0 | 6.902220 | 6.896220 |
- Task
- Fill-Mask
- Library
- transformers
- Type
- albert
- Languages
- en
- Created
- Jun 25, 2024
- Updated
- Jun 27, 2024