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m2m100_1.2B_ft_ru-kbd_63K
anzorq/m2m100_1.2B_ft_ru-kbd_63K
m2m100_1.2B_ft_ru-kbd_63K is a machine learning model from anzorq. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
This model is a fine-tuned version of facebook/m2m1001.2B on the anzorq/ru-kbd dataset.
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At a glance
- Library
- transformers
- License
- mit
- Model type
- m2m_100
- Access
- Public
- Created
- Sep 28, 2023
- Updated
- Sep 28, 2023
- SHA
- 020f0710
Base models
Datasets
Model card
From the Hugging Face model README
m2m100_1.2B_ft_kbd-ru_63K
This model is a fine-tuned version of facebook/m2m100_1.2B on the anzorq/ru-kbd dataset.
Training Summary
- Current Epoch: 3.41/9
- Global Step: 9,000
- Max Steps: 23,778
- Steps per Logging: 500
- Steps per Model Save: 1,000
- Total Operations (FLOPs): ~4.84 x 10^16
Configuration:
- Hyperparameter Search: No
- Is Local Process Zero: True
- Is World Process Zero: True
Progress:
| Epoch | Learning Rate | Loss | Step |
|---|---|---|---|
| 0.19 | 4.8950710741021115e-05 | 2.4415 | 500 |
| 0.38 | 4.78993186979561e-05 | 1.7099 | 1000 |
| 0.57 | 4.684792665489108e-05 | 1.4997 | 1500 |
| 0.76 | 4.579653461182606e-05 | 1.3625 | 2000 |
| 0.95 | 4.4745142568761036e-05 | 1.2689 | 2500 |
| 1.14 | 4.3693750525696025e-05 | 1.0546 | 3000 |
| 1.32 | 4.264235848263101e-05 | 0.9711 | 3500 |
| 1.51 | 4.159096643956599e-05 | 0.9487 | 4000 |
| 1.70 | 4.05416771805871e-05 | 0.9202 | 4500 |
| 1.89 | 3.949238792160821e-05 | 0.8953 | 5000 |
| 2.08 | 3.844309866262932e-05 | 0.6436 | 5500 |
| 2.27 | 3.73917066195643e-05 | 0.6361 | 6000 |
| 2.46 | 3.6340314576499284e-05 | 0.6473 | 6500 |
| 2.65 | 3.52910253175204e-05 | 0.6383 | 7000 |
| 2.84 | 3.423963327445538e-05 | 0.6312 | 7500 |
| 3.03 | 3.318824123139036e-05 | 0.5965 | 8000 |
| 3.22 | 3.213684918832535e-05 | 0.4106 | 8500 |
| 3.41 | 3.1085457145260324e-05 | 0.4265 | 9000 |
- Library
- transformers
- Type
- m2m_100
- License
- mit
- Languages
- ru, kbd
- Created
- Sep 28, 2023
- Updated
- Sep 28, 2023