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ft_32_14e6_base_x12
damgomz/ft_32_14e6_base_x12
ft_32_14e6_base_x12 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
34
Public
Parameters
89.7M
6.8 GB on disk
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0
Public
Repo makeup
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.safetensors359 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- Jun 23, 2024
- Updated
- Jun 24, 2024
- SHA
- f2282575
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
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_14e6_base_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.4e-05 |
| 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 | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.759346 | 0.417754 |
| 1 | 0.372233 | 0.266370 | 0.896978 |
| 2 | 0.232219 | 0.233363 | 0.922029 |
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- Languages
- en
- Created
- Jun 23, 2024
- Updated
- Jun 24, 2024