Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 89247.28522634506 |
| Emissions (Co2eq in kg) | 0.0540048758530133 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.0536111160120991 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.092964877130588 |
| Consumed energy (kWh) | 1.1465759931426804 |
| 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) | 0.17180102406071424 |
| Emissions (Co2eq in kg) | 0.03495518671365181 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_3e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 3e-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 | 0.714752 | 0.803034 |
| 1 | 0.332736 | 0.247765 | 0.891563 |
| 2 | 0.210638 | 0.224827 | 0.911390 |
| 3 | 0.165179 | 0.219521 | 0.926297 |
| 4 | 0.125668 | 0.239435 | 0.913024 |
| 5 | 0.089576 | 0.274478 | 0.899797 |
| 6 | 0.056068 | 0.305419 | 0.903875 |
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