Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 51120.18542671203 |
| Emissions (Co2eq in kg) | 0.0309336278780023 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.6035011895557244 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0532497897865872 |
| Consumed energy (kWh) | 0.6567509793423147 |
| 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) | 0.09840635694642066 |
| Emissions (Co2eq in kg) | 0.02002207262546221 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_12e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.2e-05 |
| batch_size | 16 |
| 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 | 0.732723 | 0.505346 |
| 1 | 0.314004 | 0.246469 | 0.915211 |
| 2 | 0.202303 | 0.236375 | 0.896765 |
| 3 | 0.158672 | 0.252710 | 0.929609 |
| 4 | 0.119899 | 0.267689 | 0.898428 |
| 5 | 0.082163 | 0.295711 | 0.914667 |
| 6 | 0.053517 | 0.364909 | 0.918831 |
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