Downloads · 30 days
7
27% of all-time downloads
damgomz/ft_32_16e6_x12
ft_32_16e6_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
7
27% of all-time downloads
All-time downloads
26
Public
Parameters
89.7M
17.9 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors359 MB · 99%
From the Hugging Face model README
| Metric | Value |
|---|---|
| Duration (in seconds) | 87609.51572322845 |
| Emissions (Co2eq in kg) | 0.0530138242846545 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.0342762046189788 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0912588006814322 |
| Consumed energy (kWh) | 1.1255350053004096 |
| 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) | 0.16864831776721476 |
| Emissions (Co2eq in kg) | 0.03431372699159781 |
12 juillet 2024
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs8_lr1e4_x12 |
| model_name | ft_32_16e6_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.6e-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 | 0.708335 | 0.410334 |
| 1 | 0.314627 | 0.246395 | 0.921903 |
| 2 | 0.178385 | 0.232484 | 0.925454 |
| 3 | 0.093984 | 0.303106 | 0.895744 |
| 4 | 0.031956 | 0.394190 | 0.899675 |
| 5 | 0.011529 | 0.505148 | 0.904268 |
| 6 | 0.017843 | 0.460241 | 0.907362 |