Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 89532.21213531494 |
| Emissions (Co2eq in kg) | 0.0541772868931377 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.056974821651644 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0932616254118579 |
| Consumed energy (kWh) | 1.1502364470634971 |
| 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) | 0.17234950836048124 |
| Emissions (Co2eq in kg) | 0.03506678308633168 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_7e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 7e-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 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.751652 | 0.300261 |
| 1 | 0.306301 | 0.227012 | 0.919505 |
| 2 | 0.180374 | 0.201798 | 0.934126 |
| 3 | 0.131276 | 0.233490 | 0.924289 |
| 4 | 0.083895 | 0.259538 | 0.920503 |
| 5 | 0.052943 | 0.300662 | 0.909357 |
| 6 | 0.032500 | 0.309532 | 0.917459 |
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