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ft_4_16e6_base_x2
damgomz/ft_4_16e6_base_x2
ft_4_16e6_base_x2 is a text classification model from damgomz. Use it when you need a label for a piece of text.
Access
Public
Updated Jun 21, 2024
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.md2.6 KB · 63%
At a glance
- Task
- Text Classification
- Access
- Public
- Created
- Jun 21, 2024
- Updated
- Jun 21, 2024
- SHA
- 3d8c0047
Try a prompt
Model card
From the Hugging Face model README
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 Juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | recovering |
| model_name | ft_4_16e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.6e-05 |
| batch_size | 4 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 1 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.739579 | 0.241663 |
| 1 | 0.299590 | 0.259272 | 0.897336 |
| 2 | 0.202640 | 0.240557 | 0.890311 |
| 3 | 0.156079 | 0.249552 | 0.939492 |
| 4 | 0.110257 | 0.275880 | 0.928374 |
| 5 | 0.085959 | 0.282593 | 0.919402 |
| 6 | 0.058081 | 0.318861 | 0.904849 |
- Task
- Text Classification
- Languages
- en
- Created
- Jun 21, 2024
- Updated
- Jun 21, 2024