Downloads · 30 days
5
20% of all-time downloads
damgomz/ft_8_9e6_x4
ft_8_9e6_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
5
20% of all-time downloads
All-time downloads
25
Public
Parameters
32.9M
6.7 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors132 MB · 98%
From the Hugging Face model README
| Metric | Value |
|---|---|
| Duration (in seconds) | 87196.2946536541 |
| Emissions (Co2eq in kg) | 0.05276377544334 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.0293977985752951 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0908284268411497 |
| Consumed energy (kWh) | 1.120226225416447 |
| 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) | 0.16785286720828413 |
| Emissions (Co2eq in kg) | 0.03415188207268119 |
12 juillet 2024
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x4 |
| model_name | ft_8_9e6_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 9e-06 |
| 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 | 29328 |
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.710906 | 0.666354 |
| 1 | 0.268241 | 0.213063 | 0.927601 |
| 2 | 0.160791 | 0.205624 | 0.923037 |
| 3 | 0.105559 | 0.243519 | 0.930926 |
| 4 | 0.056491 | 0.296945 | 0.919949 |
| 5 | 0.029650 | 0.343754 | 0.927650 |
| 6 | 0.022059 | 0.349320 | 0.926054 |