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damgomz/ft_4_19e6_x12
ft_4_19e6_x12 is a text classification model from damgomz. Use it when you need a label for a piece of text. It is set up for transformers.
Downloads · 30 days
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.safetensors359 MB · 99%
From the Hugging Face model README
| Metric | Value |
|---|---|
| Duration (in seconds) | 99020.14723491669 |
| Emissions (Co2eq in kg) | 0.0599185877035741 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.1689849920317517 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1031448502980175 |
| Consumed energy (kWh) | 1.272129842329762 |
| 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 |
| Metric | Value |
|---|---|
| CPU energy (kWh) | 0.19061378342721463 |
| Emissions (Co2eq in kg) | 0.038782891000342365 |
12 juillet 2024
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs8_lr1e4_x12 |
| model_name | ft_4_19e6_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.9e-05 |
| batch_size | 4 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 29328 |
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.722632 | 0.497599 |
| 1 | 0.272936 | 0.219479 | 0.932232 |
| 2 | 0.138364 | 0.239224 | 0.905977 |
| 3 | 0.050433 | 0.342407 | 0.929365 |
| 4 | 0.019551 | 0.386507 | 0.925610 |
| 5 | 0.015967 | 0.457810 | 0.933349 |
| 6 | 0.007565 | 0.513712 | 0.923951 |