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BERTrand_bs64_lr5
damgomz/BERTrand_bs64_lr5
BERTrand_bs64_lr5 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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27
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11.8M
1.2 GB on disk
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Repo makeup
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.safetensors47.3 MB · 95%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- May 1, 2024
- Updated
- May 4, 2024
- SHA
- 1f26661e
Try a prompt
Model card
From the Hugging Face model README
Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 210553.2843556404 |
| Emissions (Co2eq in kg) | 0.2720349058598398 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 56.25 |
| CPU energy (kWh) | 2.4856944445676237 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 3.289870954465132 |
| Consumed energy (kWh) | 5.775565399032714 |
| 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) | 0.4053150723846078 |
| Emissions (Co2eq in kg) | 0.08246670303929249 |
Note
30 April 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | BERTrand_bs64_lr5 |
| sequence_length | 400 |
| num_epoch | 12 |
| learning_rate | 5e-05 |
| batch_size | 64 |
| weight_decay | 0.0 |
| warm_up_prop | 0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 3148 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 15.402081 | 13.817045 |
| 0.5 | 8.054414 | 7.829068 |
| 1.0 | 4.816239 | 3.114260 |
| 1.5 | 2.206430 | 2.955595 |
| 2.0 | 2.189819 | 2.872115 |
| 2.5 | 2.418134 | 2.865437 |
| 3.0 | 2.349051 | 2.810524 |
| 3.5 | 2.102283 | 2.820134 |
| 4.0 | 1.907061 | 2.957294 |
| 4.5 | 2.326205 | 2.785392 |
| 5.0 | 2.257292 | 2.737638 |
| 5.5 | 2.127350 | 2.733068 |
| 6.0 | 1.883285 | 2.774372 |
| 6.5 | 2.100682 | 2.667502 |
| 7.0 | 2.194973 | 2.628296 |
| 7.5 | 2.163919 | 2.643665 |
| 8.0 | 1.850441 | 2.637510 |
| 8.5 | 1.968181 | 2.632833 |
| 9.0 | 2.121989 | 2.625116 |
| 9.5 | 2.136497 | 2.646418 |
| 10.0 | 1.891819 | 2.655790 |
| 10.5 | 1.822331 | 2.596789 |
| 11.0 | 2.116980 | 2.584595 |
| 11.5 | 2.101184 | 2.588414 |
| 12.0 | 1.961101 | 2.560519 |
- Task
- Fill-Mask
- Library
- transformers
- Type
- albert
- Languages
- en
- Created
- May 1, 2024
- Updated
- May 4, 2024