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ft_16_1e6_cv
damgomz/ft_16_1e6_cv
ft_16_1e6_cv is a fill-mask model from damgomz. Use it when you need the model to fill a missing word. It is set up for transformers.
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11.7M
1.4 GB on disk
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Repo makeup
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.safetensors46.7 MB · 95%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- May 21, 2024
- Updated
- May 22, 2024
- SHA
- 45240bdf
Try a prompt
Model card
From the Hugging Face model README
Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 83465.50871014595 |
| Emissions (Co2eq in kg) | 0.0505062485218885 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9853544236797442 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0869423114615182 |
| Consumed energy (kWh) | 1.0722967351412616 |
| 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) | 0.16067110426703096 |
| Emissions (Co2eq in kg) | 0.0326906575781405 |
Note
21 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/ThunBERT_bs32_lr5 |
| model_name | ft_16_1e6_cv |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-06 |
| 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 | 32586 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | Accuracy | Recall |
|---|---|---|---|---|
| 0 | 0.613570 | 0.533018 | 0.737477 | 0.881819 |
| 1 | 0.489994 | 0.451972 | 0.794342 | 0.833306 |
| 2 | 0.409385 | 0.398267 | 0.822773 | 0.865210 |
| 3 | 0.358597 | 0.379467 | 0.828665 | 0.850640 |
| 4 | 0.328654 | 0.372455 | 0.833086 | 0.845936 |
| 5 | 0.301602 | 0.373118 | 0.837210 | 0.850023 |
- Task
- Fill-Mask
- Library
- transformers
- Type
- albert
- Languages
- en
- Created
- May 21, 2024
- Updated
- May 22, 2024