Downloads · 30 days
9
2% of all-time downloads
damgomz/ft_8_4e6_x1
ft_8_4e6_x1 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
9
2% of all-time downloads
All-time downloads
421
Public
Parameters
11.7M
2.2 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors46.7 MB · 95%
From the Hugging Face model README
| Metric | Value |
|---|---|
| Duration (in seconds) | 82851.7554705143 |
| Emissions (Co2eq in kg) | 0.0501348441490126 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9781084591463232 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0863030002497137 |
| Consumed energy (kWh) | 1.064411459396036 |
| 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) | 0.15948962928074 |
| Emissions (Co2eq in kg) | 0.0324502708926181 |
12 juillet 2024
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x1 |
| model_name | ft_8_4e6_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 4e-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 | 0.712453 | 0.355672 |
| 1 | 0.299455 | 0.196750 | 0.923287 |
| 2 | 0.166111 | 0.194700 | 0.923648 |
| 3 | 0.120244 | 0.205355 | 0.930706 |
| 4 | 0.080282 | 0.224983 | 0.922213 |
| 5 | 0.046134 | 0.253418 | 0.928187 |
| 6 | 0.023887 | 0.292024 | 0.931428 |