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damgomz/B_base_x12
B_base_x12 is a text classification model from damgomz. Use it when you need a label for a piece of text.
Downloads · 30 days
10
37% of all-time downloads
All-time downloads
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.safetensors359 MB · 99%
From the Hugging Face model README
| Metric | Value |
|---|---|
| Duration (in seconds) | [More Information Needed] |
| Emissions (Co2eq in kg) | [More Information Needed] |
| CPU power (W) | [NO CPU] |
| GPU power (W) | [No GPU] |
| RAM power (W) | [More Information Needed] |
| CPU energy (kWh) | [No CPU] |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | [More Information Needed] |
| Consumed energy (kWh) | [More Information Needed] |
| Country name | [More Information Needed] |
| Cloud provider | [No Cloud] |
| Cloud region | [No Cloud] |
| CPU count | [No CPU] |
| CPU model | [No CPU] |
| GPU count | [No GPU] |
| GPU model | [No GPU] |
| Metric | Value |
|---|---|
| CPU energy (kWh) | [No CPU] |
| Emissions (Co2eq in kg) | [More Information Needed] |
19 juin 2024
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | B_base_x12 |
| sequence_length | 400 |
| num_epoch | 2 |
| learning_rate | 1.8e-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 | 12220 |
| Epoch | Train Loss | Test Loss | F-beta Score | TN | FP | FN | TP |
|---|---|---|---|---|---|---|---|
| 0 | 0.000000 | 0.696890 | 0.238513 | 572.000000 | 190.000000 | 603.000000 | 163.000000 |
| 1 | 0.299068 | 0.239116 | 0.924833 | 649.000000 | 113.000000 | 45.000000 | 721.000000 |
| 2 | 0.218701 | 0.239668 | 0.938454 | 632.000000 | 130.000000 | 28.000000 | 738.000000 |