Instructions to use alexantonov/ru-chv-marian-bt-3m-768d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexantonov/ru-chv-marian-bt-3m-768d with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alexantonov/ru-chv-marian-bt-3m-768d") model = AutoModelForSeq2SeqLM.from_pretrained("alexantonov/ru-chv-marian-bt-3m-768d", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Train MarianMT Russian-Chuvash, 1.4M sentences and 3M back_trans
Browse files- README.md +167 -0
- config.json +38 -0
- generation_config.json +39 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +9 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
library_name: transformers
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| 3 |
+
tags:
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| 4 |
+
- generated_from_trainer
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| 5 |
+
metrics:
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| 6 |
+
- bleu
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| 7 |
+
model-index:
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| 8 |
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- name: model
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| 9 |
+
results: []
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| 10 |
+
---
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| 11 |
+
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| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 13 |
+
should probably proofread and complete it, then remove this comment. -->
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| 14 |
+
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| 15 |
+
# model
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| 16 |
+
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| 17 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+
It achieves the following results on the evaluation set:
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| 19 |
+
- Loss: 3.0449
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| 20 |
+
- Bleu: 19.7852
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| 21 |
+
- Chrf: 52.1691
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| 22 |
+
- Gen Len: 33.5979
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| 23 |
+
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| 24 |
+
## Model description
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| 25 |
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| 26 |
+
More information needed
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| 27 |
+
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| 28 |
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## Intended uses & limitations
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| 29 |
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| 30 |
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More information needed
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| 31 |
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| 32 |
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## Training and evaluation data
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| 33 |
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| 34 |
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More information needed
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| 35 |
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| 36 |
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## Training procedure
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| 37 |
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| 38 |
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### Training hyperparameters
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| 39 |
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| 40 |
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The following hyperparameters were used during training:
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| 41 |
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- learning_rate: 0.0003
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| 42 |
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- train_batch_size: 128
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| 43 |
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- eval_batch_size: 128
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| 44 |
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- seed: 42
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- gradient_accumulation_steps: 2
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| 46 |
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- total_train_batch_size: 256
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| 47 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| 48 |
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- lr_scheduler_type: inverse_sqrt
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| 49 |
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- lr_scheduler_warmup_steps: 8000
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| 50 |
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- num_epochs: 12
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| 51 |
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- label_smoothing_factor: 0.1
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| 52 |
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| 53 |
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### Training results
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| 54 |
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| 55 |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Gen Len |
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| 56 |
+
|:-------------:|:-------:|:------:|:---------------:|:-------:|:-------:|:--------:|
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| 57 |
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| 15.7108 | 0.1170 | 2000 | 7.7167 | 0.1227 | 9.1436 | 127.0 |
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| 58 |
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| 11.9208 | 0.2340 | 4000 | 5.9151 | 3.411 | 26.2609 | 127.0 |
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| 59 |
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| 9.5886 | 0.3510 | 6000 | 4.8183 | 7.1743 | 36.1064 | 115.4311 |
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| 60 |
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| 8.8915 | 0.4681 | 8000 | 4.4545 | 9.021 | 38.9109 | 76.0174 |
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| 61 |
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| 8.3764 | 0.5851 | 10000 | 4.1853 | 10.0952 | 40.9698 | 61.2619 |
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| 62 |
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| 8.0093 | 0.7021 | 12000 | 3.9794 | 10.5973 | 42.881 | 51.1286 |
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| 63 |
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| 7.7510 | 0.8191 | 14000 | 3.8382 | 12.373 | 43.9795 | 48.0614 |
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| 64 |
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| 7.5581 | 0.9361 | 16000 | 3.7683 | 12.5697 | 44.4739 | 48.9131 |
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| 65 |
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| 7.3176 | 1.0531 | 18000 | 3.6800 | 13.0398 | 45.5483 | 60.6640 |
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| 66 |
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| 7.2305 | 1.1701 | 20000 | 3.6033 | 14.0428 | 46.0606 | 35.8610 |
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| 67 |
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| 7.1481 | 1.2872 | 22000 | 3.5377 | 14.878 | 46.6609 | 38.3824 |
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| 68 |
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| 7.0607 | 1.4042 | 24000 | 3.5070 | 15.1898 | 47.4569 | 51.3198 |
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| 69 |
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| 7.0017 | 1.5212 | 26000 | 3.4737 | 16.0498 | 48.2444 | 34.2294 |
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| 70 |
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| 6.9453 | 1.6382 | 28000 | 3.4205 | 16.2782 | 48.3454 | 38.7173 |
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| 71 |
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| 6.8799 | 1.7552 | 30000 | 3.4045 | 15.3028 | 48.7879 | 35.3395 |
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| 72 |
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| 6.8324 | 1.8722 | 32000 | 3.3622 | 16.3933 | 49.0446 | 35.0811 |
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| 73 |
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| 6.7993 | 1.9892 | 34000 | 3.3549 | 16.327 | 48.8867 | 33.7462 |
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| 74 |
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| 6.6331 | 2.1062 | 36000 | 3.3195 | 16.2476 | 48.9527 | 35.2294 |
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| 75 |
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| 6.6308 | 2.2233 | 38000 | 3.3113 | 16.0936 | 49.0612 | 35.2294 |
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| 76 |
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| 6.6033 | 2.3403 | 40000 | 3.3108 | 16.0058 | 48.9797 | 35.5261 |
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| 77 |
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| 6.5890 | 2.4573 | 42000 | 3.2807 | 17.1487 | 49.695 | 33.7845 |
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| 78 |
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| 6.5677 | 2.5743 | 44000 | 3.2556 | 18.0844 | 50.1868 | 32.8946 |
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| 79 |
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| 6.5463 | 2.6913 | 46000 | 3.2500 | 17.7437 | 50.3211 | 34.6315 |
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| 80 |
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| 6.5322 | 2.8083 | 48000 | 3.2305 | 17.1847 | 50.0703 | 34.3395 |
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| 81 |
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| 6.5154 | 2.9253 | 50000 | 3.2057 | 17.2239 | 49.7552 | 36.0811 |
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| 82 |
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| 6.3802 | 3.0424 | 52000 | 3.2188 | 17.3479 | 50.321 | 34.0429 |
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| 83 |
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| 6.3541 | 3.1594 | 54000 | 3.2132 | 17.6497 | 50.4238 | 33.7462 |
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| 84 |
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| 6.3544 | 3.2764 | 56000 | 3.1990 | 17.8669 | 50.3505 | 33.9664 |
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| 85 |
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| 6.3517 | 3.3934 | 58000 | 3.1796 | 18.2486 | 50.8451 | 33.7462 |
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| 86 |
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| 6.3523 | 3.5104 | 60000 | 3.1908 | 17.6748 | 50.4264 | 36.0811 |
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| 87 |
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| 6.3430 | 3.6274 | 62000 | 3.1701 | 18.344 | 51.3013 | 34.8227 |
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| 88 |
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| 6.3392 | 3.7444 | 64000 | 3.1662 | 19.001 | 51.2261 | 34.8946 |
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| 89 |
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| 6.3319 | 3.8615 | 66000 | 3.1477 | 17.9256 | 50.8211 | 33.8181 |
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| 90 |
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| 6.3206 | 3.9785 | 68000 | 3.1540 | 18.1694 | 50.7788 | 33.7080 |
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| 91 |
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| 6.1742 | 4.0955 | 70000 | 3.1480 | 18.3839 | 51.2883 | 35.6362 |
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| 92 |
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| 6.1884 | 4.2125 | 72000 | 3.1480 | 18.098 | 50.4005 | 34.3013 |
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| 93 |
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| 6.1911 | 4.3295 | 74000 | 3.1502 | 17.6987 | 50.2971 | 35.1912 |
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| 94 |
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| 6.1996 | 4.4465 | 76000 | 3.1366 | 17.9486 | 50.7817 | 34.3013 |
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| 95 |
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| 6.1994 | 4.5635 | 78000 | 3.1193 | 17.8277 | 51.1316 | 35.0429 |
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| 96 |
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| 6.1929 | 4.6806 | 80000 | 3.1103 | 17.6871 | 50.8913 | 34.8899 |
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| 97 |
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| 6.2017 | 4.7976 | 82000 | 3.1208 | 17.8896 | 50.4156 | 34.1147 |
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| 98 |
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| 6.1970 | 4.9146 | 84000 | 3.1206 | 18.3889 | 51.2227 | 33.9282 |
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| 99 |
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| 6.1101 | 5.0316 | 86000 | 3.1182 | 18.1708 | 51.1254 | 35.8946 |
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| 100 |
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| 6.0711 | 5.1486 | 88000 | 3.1072 | 18.9565 | 51.7926 | 34.1912 |
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| 101 |
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| 6.0807 | 5.2656 | 90000 | 3.1035 | 18.7878 | 51.35 | 33.1147 |
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| 102 |
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| 6.0750 | 5.3826 | 92000 | 3.1039 | 18.4917 | 51.4391 | 34.0429 |
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| 103 |
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| 6.0887 | 5.4996 | 94000 | 3.1028 | 18.7455 | 51.3372 | 34.0046 |
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| 104 |
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| 6.1003 | 5.6167 | 96000 | 3.0964 | 18.9129 | 51.5941 | 34.1530 |
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| 105 |
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| 6.0964 | 5.7337 | 98000 | 3.0880 | 19.1538 | 51.6121 | 34.3395 |
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| 106 |
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| 6.1024 | 5.8507 | 100000 | 3.0821 | 19.0157 | 51.8337 | 34.5979 |
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| 107 |
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| 6.0991 | 5.9677 | 102000 | 3.0834 | 19.127 | 51.8449 | 34.0046 |
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| 108 |
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| 5.9529 | 6.0847 | 104000 | 3.0927 | 18.9951 | 51.8414 | 34.0765 |
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| 109 |
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| 5.9803 | 6.2017 | 106000 | 3.0881 | 19.0848 | 51.6448 | 32.5597 |
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| 110 |
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| 5.9968 | 6.3187 | 108000 | 3.0823 | 19.1365 | 52.0502 | 34.4114 |
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| 111 |
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| 5.9981 | 6.4358 | 110000 | 3.0814 | 18.9723 | 51.9731 | 33.4114 |
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| 112 |
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| 6.0142 | 6.5528 | 112000 | 3.0726 | 18.9398 | 51.9883 | 36.0811 |
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| 113 |
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| 6.0171 | 6.6698 | 114000 | 3.0849 | 18.8193 | 51.3184 | 33.7080 |
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| 114 |
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| 6.0197 | 6.7868 | 116000 | 3.0854 | 18.48 | 51.0727 | 33.0382 |
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| 115 |
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| 6.0269 | 6.9038 | 118000 | 3.0658 | 18.7856 | 52.0755 | 33.8563 |
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| 116 |
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| 5.9685 | 7.0208 | 120000 | 3.0732 | 19.426 | 51.891 | 33.8181 |
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| 117 |
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| 5.8872 | 7.1378 | 122000 | 3.0690 | 19.5588 | 51.8144 | 34.3013 |
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| 118 |
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| 5.9167 | 7.2549 | 124000 | 3.0656 | 19.4649 | 51.8155 | 34.7462 |
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| 119 |
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| 5.9220 | 7.3719 | 126000 | 3.0745 | 19.1167 | 51.6037 | 33.7798 |
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| 120 |
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| 5.9333 | 7.4889 | 128000 | 3.0643 | 19.0742 | 51.5488 | 35.0429 |
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| 121 |
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| 5.9365 | 7.6059 | 130000 | 3.0663 | 19.1219 | 51.4578 | 34.3395 |
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| 122 |
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| 5.9513 | 7.7229 | 132000 | 3.0636 | 18.6926 | 51.6251 | 35.2630 |
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| 123 |
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| 5.9437 | 7.8399 | 134000 | 3.0500 | 19.2458 | 51.9176 | 33.1147 |
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| 124 |
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| 5.9538 | 7.9569 | 136000 | 3.0555 | 18.6213 | 51.616 | 33.6315 |
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| 125 |
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| 5.8115 | 8.0740 | 138000 | 3.0731 | 18.1509 | 51.3331 | 35.4739 |
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| 126 |
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| 5.8357 | 8.1910 | 140000 | 3.0618 | 18.2878 | 51.361 | 35.0765 |
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| 127 |
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| 5.8532 | 8.3080 | 142000 | 3.0648 | 18.6191 | 51.4876 | 35.3731 |
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| 128 |
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| 5.8726 | 8.4250 | 144000 | 3.0573 | 18.8563 | 51.5889 | 34.4832 |
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| 129 |
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| 5.8783 | 8.5420 | 146000 | 3.0560 | 19.4867 | 52.0309 | 35.0046 |
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| 130 |
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| 5.8840 | 8.6590 | 148000 | 3.0558 | 18.917 | 51.8036 | 34.1530 |
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| 131 |
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| 5.8898 | 8.7760 | 150000 | 3.0498 | 19.4045 | 51.9541 | 34.3395 |
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| 132 |
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| 5.9013 | 8.8930 | 152000 | 3.0449 | 19.7852 | 52.1691 | 33.5979 |
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| 133 |
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| 5.8745 | 9.0101 | 154000 | 3.0494 | 18.6923 | 51.6402 | 49.1866 |
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| 134 |
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| 5.7689 | 9.1271 | 156000 | 3.0498 | 19.008 | 51.7807 | 35.9861 |
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| 135 |
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| 5.7923 | 9.2441 | 158000 | 3.0531 | 19.3957 | 51.8088 | 35.5411 |
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| 136 |
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| 5.8074 | 9.3611 | 160000 | 3.0464 | 19.2631 | 51.8252 | 35.4403 |
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| 137 |
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| 5.8202 | 9.4781 | 162000 | 3.0508 | 18.9163 | 51.8393 | 36.1344 |
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| 138 |
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| 5.8340 | 9.5951 | 164000 | 3.0412 | 18.8592 | 51.9976 | 34.3013 |
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| 139 |
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| 5.8403 | 9.7121 | 166000 | 3.0363 | 19.2968 | 51.9118 | 36.3163 |
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| 140 |
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| 5.8421 | 9.8292 | 168000 | 3.0288 | 19.6602 | 51.959 | 34.4496 |
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| 141 |
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| 5.8428 | 9.9462 | 170000 | 3.0337 | 19.1082 | 52.1028 | 36.3163 |
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| 142 |
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| 5.7135 | 10.0632 | 172000 | 3.0497 | 18.5526 | 51.5155 | 36.3499 |
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| 143 |
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| 5.7345 | 10.1802 | 174000 | 3.0585 | 18.7664 | 51.3669 | 35.1298 |
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| 144 |
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| 5.7551 | 10.2972 | 176000 | 3.0570 | 18.9602 | 51.4472 | 33.5214 |
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| 145 |
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| 5.7685 | 10.4142 | 178000 | 3.0476 | 19.1937 | 51.8817 | 37.2538 |
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| 146 |
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| 5.7830 | 10.5312 | 180000 | 3.0528 | 18.9631 | 51.4576 | 33.1866 |
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| 147 |
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| 5.7846 | 10.6483 | 182000 | 3.0340 | 18.6598 | 51.7472 | 34.1912 |
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| 148 |
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| 5.7908 | 10.7653 | 184000 | 3.0349 | 19.782 | 52.1106 | 36.4357 |
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| 149 |
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| 7.0077 | 10.8823 | 186000 | 3.2087 | 18.1469 | 50.2508 | 35.4878 |
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| 150 |
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| 8.2229 | 10.9993 | 188000 | 3.5513 | 13.0171 | 44.2126 | 37.3059 |
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| 151 |
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| 11.2715 | 11.1163 | 190000 | 6.1653 | 0.0819 | 13.5598 | 127.0 |
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| 152 |
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| 11.7661 | 11.2333 | 192000 | 6.7296 | 0.0285 | 4.2246 | 6.0 |
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| 153 |
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| 11.5937 | 11.3503 | 194000 | 6.8796 | 0.006 | 3.0901 | 5.0 |
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| 154 |
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| 11.6312 | 11.4674 | 196000 | 6.6285 | 0.006 | 3.1418 | 5.0 |
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| 155 |
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| 11.3841 | 11.5844 | 198000 | 7.0674 | 0.014 | 3.0825 | 4.0 |
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| 156 |
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| 11.3345 | 11.7014 | 200000 | 7.0541 | 0.0 | 0.9631 | 4.0 |
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| 157 |
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| 11.2887 | 11.8184 | 202000 | 7.0348 | 0.0062 | 3.9599 | 7.0 |
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| 158 |
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| 11.2479 | 11.9354 | 204000 | 7.6489 | 0.0 | 1.9604 | 2.0 |
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| 159 |
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| 11.2350 | 12.0 | 205104 | 7.1126 | 0.0063 | 3.1944 | 5.0 |
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| 160 |
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| 161 |
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| 162 |
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### Framework versions
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| 163 |
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- Transformers 5.6.2
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| 165 |
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- Pytorch 2.5.1+cu121
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| 166 |
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- Datasets 4.8.5
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| 167 |
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- Tokenizers 0.22.2
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config.json
ADDED
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"activation_dropout": 0.1,
|
| 3 |
+
"activation_function": "swish",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"MarianMTModel"
|
| 6 |
+
],
|
| 7 |
+
"attention_dropout": 0.1,
|
| 8 |
+
"bos_token_id": 2,
|
| 9 |
+
"d_model": 768,
|
| 10 |
+
"decoder_attention_heads": 12,
|
| 11 |
+
"decoder_ffn_dim": 3072,
|
| 12 |
+
"decoder_layerdrop": 0.0,
|
| 13 |
+
"decoder_layers": 4,
|
| 14 |
+
"decoder_start_token_id": 0,
|
| 15 |
+
"decoder_vocab_size": 48000,
|
| 16 |
+
"dropout": 0.1,
|
| 17 |
+
"dtype": "float32",
|
| 18 |
+
"encoder_attention_heads": 12,
|
| 19 |
+
"encoder_ffn_dim": 3072,
|
| 20 |
+
"encoder_layerdrop": 0.0,
|
| 21 |
+
"encoder_layers": 12,
|
| 22 |
+
"eos_token_id": 3,
|
| 23 |
+
"forced_eos_token_id": 3,
|
| 24 |
+
"init_std": 0.02,
|
| 25 |
+
"is_decoder": false,
|
| 26 |
+
"is_encoder_decoder": true,
|
| 27 |
+
"max_position_embeddings": 512,
|
| 28 |
+
"model_type": "marian",
|
| 29 |
+
"normalize_before": true,
|
| 30 |
+
"pad_token_id": 0,
|
| 31 |
+
"scale_embedding": true,
|
| 32 |
+
"share_encoder_decoder_embeddings": true,
|
| 33 |
+
"tie_word_embeddings": true,
|
| 34 |
+
"transformers_version": "5.6.2",
|
| 35 |
+
"unk_token_id": 1,
|
| 36 |
+
"use_cache": false,
|
| 37 |
+
"vocab_size": 48000
|
| 38 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": false,
|
| 3 |
+
"assistant_confidence_threshold": 0.4,
|
| 4 |
+
"assistant_lookbehind": 10,
|
| 5 |
+
"bos_token_id": 2,
|
| 6 |
+
"decoder_start_token_id": 0,
|
| 7 |
+
"diversity_penalty": 0.0,
|
| 8 |
+
"do_sample": false,
|
| 9 |
+
"early_stopping": false,
|
| 10 |
+
"encoder_no_repeat_ngram_size": 0,
|
| 11 |
+
"encoder_repetition_penalty": 1.0,
|
| 12 |
+
"eos_token_id": 3,
|
| 13 |
+
"epsilon_cutoff": 0.0,
|
| 14 |
+
"eta_cutoff": 0.0,
|
| 15 |
+
"forced_eos_token_id": 3,
|
| 16 |
+
"length_penalty": 1.0,
|
| 17 |
+
"max_length": 20,
|
| 18 |
+
"min_length": 0,
|
| 19 |
+
"no_repeat_ngram_size": 0,
|
| 20 |
+
"num_assistant_tokens": 20,
|
| 21 |
+
"num_assistant_tokens_schedule": "constant",
|
| 22 |
+
"num_beam_groups": 1,
|
| 23 |
+
"num_beams": 1,
|
| 24 |
+
"num_return_sequences": 1,
|
| 25 |
+
"output_attentions": false,
|
| 26 |
+
"output_hidden_states": false,
|
| 27 |
+
"output_scores": false,
|
| 28 |
+
"pad_token_id": 0,
|
| 29 |
+
"remove_invalid_values": false,
|
| 30 |
+
"repetition_penalty": 1.0,
|
| 31 |
+
"return_dict_in_generate": false,
|
| 32 |
+
"target_lookbehind": 10,
|
| 33 |
+
"temperature": 1.0,
|
| 34 |
+
"top_k": 50,
|
| 35 |
+
"top_p": 1.0,
|
| 36 |
+
"transformers_version": "5.6.2",
|
| 37 |
+
"typical_p": 1.0,
|
| 38 |
+
"use_cache": true
|
| 39 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8fb6ac8966f1f389b8bcd7cbb51ff371d01fa12b8871a277d13ed2aeeacabcb6
|
| 3 |
+
size 639128432
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<s>",
|
| 4 |
+
"eos_token": "</s>",
|
| 5 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 6 |
+
"pad_token": "<pad>",
|
| 7 |
+
"tokenizer_class": "TokenizersBackend",
|
| 8 |
+
"unk_token": "<unk>"
|
| 9 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:668592c8fb8ac129808429345b7feccc3dc039fe68a23fad7e8330e6fe0db763
|
| 3 |
+
size 4984
|