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damgomz/ft_2_9e6_x8
ft_2_9e6_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.
Downloads · 30 days
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.safetensors245 MB · 99%
From the Hugging Face model README
| Metric | Value |
|---|---|
| Duration (in seconds) | 77586.31483054161 |
| Emissions (Co2eq in kg) | 0.0469486979375536 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.915947988763451 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0808184904525674 |
| Consumed energy (kWh) | 0.996766479216018 |
| 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 |
| Metric | Value |
|---|---|
| CPU energy (kWh) | 0.1493536560487926 |
| Emissions (Co2eq in kg) | 0.0303879733086288 |
12 juillet 2024
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x8 |
| model_name | ft_2_9e6_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 9e-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 |
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.736914 | 0.333419 |
| 1 | 0.256513 | 0.218914 | 0.929983 |
| 2 | 0.160705 | 0.241730 | 0.920468 |
| 3 | 0.099196 | 0.261339 | 0.925476 |
| 4 | 0.053369 | 0.330571 | 0.898316 |
| 5 | 0.031586 | 0.350092 | 0.908034 |
| 6 | 0.017824 | 0.415251 | 0.932408 |