metadata
language: en
tags:
- fill-mask
Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | [More Information Needed] |
| Emissions (Co2eq in kg) | [More Information Needed] |
| CPU power (W) | [NO CPU] |
| GPU power (W) | [No GPU] |
| RAM power (W) | [More Information Needed] |
| CPU energy (kWh) | [No CPU] |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | [More Information Needed] |
| Consumed energy (kWh) | [More Information Needed] |
| Country name | [More Information Needed] |
| Cloud provider | [No Cloud] |
| Cloud region | [No Cloud] |
| CPU count | [No CPU] |
| CPU model | [No CPU] |
| GPU count | [No GPU] |
| GPU model | [No GPU] |
Environmental Impact (for one core)
| Metric | Value |
|---|---|
| CPU energy (kWh) | [No CPU] |
| Emissions (Co2eq in kg) | [More Information Needed] |
Note
20 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_bs16_1lr6_base_x8 |
| sequence_length | 400 |
| num_epoch | 20 |
| learning_rate | 1e-06 |
| 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 | 108600 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | Accuracy | Recall |
|---|---|---|---|---|
| 0 | 0.523328 | 0.476205 | 0.776141 | 0.906442 |
| 1 | 0.431474 | 0.413639 | 0.813697 | 0.866564 |
| 2 | 0.384488 | 0.402209 | 0.823270 | 0.897239 |
| 3 | 0.353091 | 0.387237 | 0.822533 | 0.800613 |
| 4 | 0.328723 | 0.390632 | 0.836524 | 0.918712 |
| 5 | 0.314824 | 0.373720 | 0.835052 | 0.848160 |
| 6 | 0.299005 | 0.389435 | 0.810751 | 0.750000 |
| 7 | 0.289835 | 0.386018 | 0.835052 | 0.860429 |
| 8 | 0.273817 | 0.388888 | 0.829897 | 0.814417 |
| 9 | 0.257712 | 0.386943 | 0.837997 | 0.871166 |
| 10 | 0.236881 | 0.410112 | 0.832842 | 0.855828 |
| 11 | 0.218910 | 0.429738 | 0.820324 | 0.837423 |