Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 65512.133805036545 |
| Emissions (Co2eq in kg) | 0.0396424103586092 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.7734056813597672 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.068241212731848 |
| Consumed energy (kWh) | 0.8416468940916164 |
| 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 |
Environmental Impact (for one core)
| Metric | Value |
|---|---|
| CPU energy (kWh) | 0.12611085757469537 |
| Emissions (Co2eq in kg) | 0.025658919073639316 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_8e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 8e-06 |
| 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 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.723883 | 0.296267 |
| 1 | 0.333335 | 0.260794 | 0.899626 |
| 2 | 0.207532 | 0.226265 | 0.904981 |
| 3 | 0.154799 | 0.226320 | 0.922738 |
| 4 | 0.109941 | 0.255653 | 0.913665 |
| 5 | 0.073189 | 0.285200 | 0.910820 |
| 6 | 0.046709 | 0.327089 | 0.934989 |
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