Create README.md
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README.md
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---
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language:
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- ru
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- kbd
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license: mit
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base_model: facebook/m2m100_1.2B
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tags:
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- generated_from_trainer
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datasets:
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- anzorq/ru-kbd
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model-index:
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- name: m2m100_1.2B_ft_kbd-ru_63K
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results: []
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---
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# m2m100_1.2B_ft_kbd-ru_63K
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This model is a fine-tuned version of [facebook/m2m100_1.2B](https://huggingface.co/facebook/m2m100_1.2B) on the anzorq/ru-kbd dataset.
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# Training Summary
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- **Current Epoch**: 3.41/9
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- **Global Step**: 9,000
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- **Max Steps**: 23,778
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- **Steps per Logging**: 500
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- **Steps per Model Save**: 1,000
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- **Total Operations (FLOPs)**: ~4.84 x 10^16
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## Configuration:
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- **Hyperparameter Search**: No
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- **Is Local Process Zero**: True
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- **Is World Process Zero**: True
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## Progress:
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| Epoch | Learning Rate | Loss | Step |
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|-------|----------------------------------|--------|------|
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| 0.19 | 4.8950710741021115e-05 | 2.4415 | 500 |
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| 0.38 | 4.78993186979561e-05 | 1.7099 | 1000 |
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| 0.57 | 4.684792665489108e-05 | 1.4997 | 1500 |
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| 0.76 | 4.579653461182606e-05 | 1.3625 | 2000 |
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| 0.95 | 4.4745142568761036e-05 | 1.2689 | 2500 |
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| 1.14 | 4.3693750525696025e-05 | 1.0546 | 3000 |
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| 1.32 | 4.264235848263101e-05 | 0.9711 | 3500 |
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| 1.51 | 4.159096643956599e-05 | 0.9487 | 4000 |
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| 1.70 | 4.05416771805871e-05 | 0.9202 | 4500 |
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| 1.89 | 3.949238792160821e-05 | 0.8953 | 5000 |
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| 2.08 | 3.844309866262932e-05 | 0.6436 | 5500 |
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| 2.27 | 3.73917066195643e-05 | 0.6361 | 6000 |
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| 2.46 | 3.6340314576499284e-05 | 0.6473 | 6500 |
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| 2.65 | 3.52910253175204e-05 | 0.6383 | 7000 |
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| 2.84 | 3.423963327445538e-05 | 0.6312 | 7500 |
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| 3.03 | 3.318824123139036e-05 | 0.5965 | 8000 |
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| 3.22 | 3.213684918832535e-05 | 0.4106 | 8500 |
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| 3.41 | 3.1085457145260324e-05 | 0.4265 | 9000 |
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