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ft_2_4e6_x1
damgomz/ft_2_4e6_x1
ft_2_4e6_x1 is a text classification model from damgomz. Use it when you need a label for a piece of text. It is set up for transformers.
All-time downloads
29
Public
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11.7M
2.6 GB on disk
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0
Public
Repo makeup
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.safetensors46.7 MB · 95%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- Jun 17, 2024
- Updated
- Jul 13, 2024
- SHA
- f64c02b6
Try a prompt
Model card
From the Hugging Face model README
Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 107577.07574224472 |
| Emissions (Co2eq in kg) | 0.0650965079526569 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.2700039884992718 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1120581323189039 |
| Consumed energy (kWh) | 1.382062120818178 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 2 |
| 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) | 0.20708587080382107 |
| Emissions (Co2eq in kg) | 0.04213435466571251 |
Note
12 juillet 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x1 |
| model_name | ft_2_4e6_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 4e-06 |
| batch_size | 2 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.705961 | 0.081807 |
| 1 | 0.254962 | 0.191818 | 0.947271 |
| 2 | 0.150421 | 0.187216 | 0.939113 |
| 3 | 0.094884 | 0.216354 | 0.928744 |
| 4 | 0.070045 | 0.254245 | 0.924042 |
| 5 | 0.035919 | 0.282813 | 0.935682 |
| 6 | 0.014503 | 0.323565 | 0.925198 |
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- Languages
- en
- Created
- Jun 17, 2024
- Updated
- Jul 13, 2024