Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 108600.56103658676 |
| Emissions (Co2eq in kg) | 0.0657157773761293 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.28208679255512 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1131230198932193 |
| Consumed energy (kWh) | 1.395209812448341 |
| 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) | 0.20905607999542952 |
| Emissions (Co2eq in kg) | 0.04253521973932981 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_11e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.1e-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 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.775399 | 0.278800 |
| 1 | 0.342542 | 0.227123 | 0.912421 |
| 2 | 0.195072 | 0.210132 | 0.930485 |
| 3 | 0.144655 | 0.222816 | 0.926510 |
| 4 | 0.102367 | 0.240379 | 0.915922 |
| 5 | 0.068007 | 0.254159 | 0.908042 |
| 6 | 0.046899 | 0.296062 | 0.932938 |
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