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ft_bs16_lr6_base_x2
damgomz/ft_bs16_lr6_base_x2
ft_bs16_lr6_base_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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751 MB on disk
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.safetensors75.1 MB · 97%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- May 16, 2024
- Updated
- May 17, 2024
- SHA
- 01977907
Try a prompt
Model card
From the Hugging Face model README
Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 17539.63565468788 |
| Emissions (Co2eq in kg) | 0.0107856173433722 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 4.500000000000001 |
| CPU energy (kWh) | 0.2070647665154599 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0219243705171347 |
| Consumed energy (kWh) | 0.2289891370325948 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 2 |
| 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) | 0.03376379863527417 |
| Emissions (Co2eq in kg) | 0.006869690631419421 |
Note
17 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_bs16_lr6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-06 |
| batch_size | 16 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 32580 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | Accuracy | Recall |
|---|---|---|---|---|
| 0 | 0.449242 | 0.373513 | 0.834315 | 0.812883 |
| 1 | 0.335334 | 0.351701 | 0.851252 | 0.903374 |
| 2 | 0.286431 | 0.351840 | 0.854934 | 0.881902 |
| 3 | 0.217484 | 0.389165 | 0.840206 | 0.932515 |
| 4 | 0.133403 | 0.430746 | 0.846097 | 0.842025 |
| 5 | 0.079103 | 0.486669 | 0.844624 | 0.883436 |
- Task
- Fill-Mask
- Library
- transformers
- Type
- albert
- Languages
- en
- Created
- May 16, 2024
- Updated
- May 17, 2024