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ft_16_17e6_base_x1
damgomz/ft_16_17e6_base_x1
ft_16_17e6_base_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.
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56
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11.7M
1.4 GB on disk
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0
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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 21, 2024
- Updated
- Jun 22, 2024
- SHA
- 94b8e766
Try a prompt
Model card
From the Hugging Face model README
Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 78865.24793434143 |
| Emissions (Co2eq in kg) | 0.047722552122112 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9310458038700944 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0821503516703844 |
| Consumed energy (kWh) | 1.013196155540478 |
| 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) | 0.15181560227360724 |
| Emissions (Co2eq in kg) | 0.030888888774283727 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_17e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.7e-05 |
| 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 | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.734898 | 0.397911 |
| 1 | 0.311848 | 0.217642 | 0.915817 |
| 2 | 0.191454 | 0.231934 | 0.935043 |
| 3 | 0.139418 | 0.223042 | 0.920776 |
| 4 | 0.103981 | 0.256173 | 0.908214 |
| 5 | 0.067354 | 0.283183 | 0.924045 |
| 6 | 0.048856 | 0.316879 | 0.932606 |
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- Languages
- en
- Created
- Jun 21, 2024
- Updated
- Jun 22, 2024