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ft_bs32_lr6_base
damgomz/ft_bs32_lr6_base
ft_bs32_lr6_base 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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467 MB on disk
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.safetensors46.7 MB · 95%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- May 16, 2024
- Updated
- May 17, 2024
- SHA
- f14ec191
Try a prompt
Model card
From the Hugging Face model README
Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 15805.78792977333 |
| Emissions (Co2eq in kg) | 0.0097194275052211 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 4.500000000000001 |
| CPU energy (kWh) | 0.186595798800389 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0197570919072628 |
| Consumed energy (kWh) | 0.2063528907076516 |
| 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) | 0.03042614176481366 |
| Emissions (Co2eq in kg) | 0.006190600272494554 |
Note
17 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_bs32_lr6_base |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-06 |
| batch_size | 32 |
| 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 | 0.517818 | 0.402571 | 0.819588 | 0.840491 |
| 1 | 0.362306 | 0.353783 | 0.845361 | 0.875767 |
| 2 | 0.295267 | 0.369306 | 0.841679 | 0.845092 |
| 3 | 0.219123 | 0.435836 | 0.815169 | 0.920245 |
| 4 | 0.152728 | 0.441231 | 0.823270 | 0.871166 |
| 5 | 0.101639 | 0.502734 | 0.820324 | 0.860429 |
- Task
- Fill-Mask
- Library
- transformers
- Type
- albert
- Languages
- en
- Created
- May 16, 2024
- Updated
- May 17, 2024