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damgomz/ft_32_19e6_x4
ft_32_19e6_x4 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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.safetensors132 MB · 98%
From the Hugging Face model README
| Metric | Value |
|---|---|
| Duration (in seconds) | 66165.19779753685 |
| Emissions (Co2eq in kg) | 0.0400375867645832 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.7811153796101601 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0689214935896297 |
| Consumed energy (kWh) | 0.8500368731997894 |
| 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) | 0.12736800576025842 |
| Emissions (Co2eq in kg) | 0.025914702470701934 |
12 juillet 2024
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x4 |
| model_name | ft_32_19e6_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.9e-05 |
| 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 | 29328 |
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.698568 | 0.411390 |
| 1 | 0.298682 | 0.212410 | 0.932105 |
| 2 | 0.158875 | 0.206313 | 0.935507 |
| 3 | 0.106713 | 0.231826 | 0.923424 |
| 4 | 0.058001 | 0.277089 | 0.909667 |
| 5 | 0.032546 | 0.346564 | 0.909369 |
| 6 | 0.026976 | 0.363970 | 0.922142 |