Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 11538.003197193146 |
| Emissions (Co2eq in kg) | 0.0075479190670361 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 7.5 |
| CPU energy (kWh) | 0.1362123195265731 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0240373368933796 |
| Consumed energy (kWh) | 0.1602496564199525 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 3 |
| 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) | 0.022210656154596806 |
| Emissions (Co2eq in kg) | 0.004519051252233982 |
Note
17 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_bs64_lr6_base |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-06 |
| batch_size | 64 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 32580 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | Accuracy | Recall |
|---|---|---|---|---|
| 0 | 0.528595 | 0.432751 | 0.808542 | 0.797546 |
| 1 | 0.385116 | 0.376983 | 0.843152 | 0.911043 |
| 2 | 0.327269 | 0.355248 | 0.854934 | 0.891104 |
| 3 | 0.274044 | 0.376667 | 0.828424 | 0.789877 |
| 4 | 0.194716 | 0.433947 | 0.815169 | 0.811350 |
| 5 | 0.140480 | 0.483331 | 0.804124 | 0.796012 |
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