damgomz
/

ft_32_1e6_base_x12

@@ -1,199 +1,66 @@
 ---
-library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
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 ---
+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
+21 May 2024
+## My Config
+| Config                   | Value           |
+|--------------------------|-----------------|
+| checkpoint               | albert-base-v2  |
+| model_name               | ft_32_1e6_base_x12 |
+| sequence_length          | 400  |
+| num_epoch                | 6  |
+| learning_rate            | 1e-06  |
+| batch_size               | 32  |
+| 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 | 0.579354 | 0.510326 | 0.751841 | 0.667651 |