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ft_4_4e6_base_x8
damgomz/ft_4_4e6_base_x8
ft_4_4e6_base_x8 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.
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343
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61.3M
22.1 GB on disk
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Repo makeup
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.safetensors245 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- May 28, 2024
- Updated
- Jun 15, 2024
- SHA
- f2d74777
Try a prompt
Model card
From the Hugging Face model README
Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 95579.71807861328 |
| Emissions (Co2eq in kg) | 0.0578367353546487 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.128368973472713 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0995611204668883 |
| Consumed energy (kWh) | 1.2279300939395932 |
| 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) | 0.18399095730133058 |
| Emissions (Co2eq in kg) | 0.0374353895807902 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_4e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 4e-06 |
| 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 | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.726846 | 0.326083 |
| 1 | 0.308695 | 0.231485 | 0.931948 |
| 2 | 0.203820 | 0.219193 | 0.913439 |
| 3 | 0.161840 | 0.235001 | 0.913327 |
| 4 | 0.122568 | 0.256856 | 0.918912 |
| 5 | 0.085651 | 0.297775 | 0.914917 |
| 6 | 0.059050 | 0.321096 | 0.910800 |
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- Languages
- en
- Created
- May 28, 2024
- Updated
- Jun 15, 2024