--- 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 | | 12 | 0.207044 | 0.461636 | 0.832106 | 0.891104 |