End of training
Browse files- README.md +125 -0
- loss_plot.png +0 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +194 -0
README.md
ADDED
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@@ -0,0 +1,125 @@
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| 1 |
+
---
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| 2 |
+
library_name: peft
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| 3 |
+
license: other
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| 4 |
+
base_model: deepseek-ai/deepseek-coder-6.7b-base
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| 5 |
+
tags:
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| 6 |
+
- base_model:adapter:deepseek-ai/deepseek-coder-6.7b-base
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| 7 |
+
- lora
|
| 8 |
+
- transformers
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| 9 |
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pipeline_tag: text-generation
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| 10 |
+
model-index:
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| 11 |
+
- name: lemexp-task1-v3-lemma_object_small_nodefs-deepseek-coder-6.7b-base
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| 12 |
+
results: []
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| 13 |
+
---
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| 14 |
+
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| 15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 16 |
+
should probably proofread and complete it, then remove this comment. -->
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| 17 |
+
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| 18 |
+
# lemexp-task1-v3-lemma_object_small_nodefs-deepseek-coder-6.7b-base
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| 19 |
+
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| 20 |
+
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) on an unknown dataset.
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| 21 |
+
It achieves the following results on the evaluation set:
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| 22 |
+
- Loss: 0.2294
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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 |
+
## Intended uses & limitations
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| 29 |
+
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| 30 |
+
More information needed
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| 31 |
+
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| 32 |
+
## Training and evaluation data
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| 33 |
+
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| 34 |
+
More information needed
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| 35 |
+
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| 36 |
+
## Training procedure
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| 37 |
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| 38 |
+
### 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: 0.0004
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| 42 |
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- train_batch_size: 4
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| 43 |
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- eval_batch_size: 2
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| 44 |
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- seed: 42
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| 45 |
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- distributed_type: multi-GPU
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| 46 |
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- num_devices: 4
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| 47 |
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- total_train_batch_size: 16
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| 48 |
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- total_eval_batch_size: 8
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| 49 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| 50 |
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- lr_scheduler_type: linear
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| 51 |
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- num_epochs: 12
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| 52 |
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- mixed_precision_training: Native AMP
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| 53 |
+
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| 54 |
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### Training results
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| 55 |
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|
| 56 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 57 |
+
|:-------------:|:-------:|:-----:|:---------------:|
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| 58 |
+
| 0.4045 | 0.2001 | 720 | 0.3253 |
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| 59 |
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| 0.3156 | 0.4001 | 1440 | 0.2905 |
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| 60 |
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| 0.2636 | 0.6002 | 2160 | 0.2644 |
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| 61 |
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| 0.2455 | 0.8002 | 2880 | 0.2401 |
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| 62 |
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| 0.227 | 1.0003 | 3600 | 0.2328 |
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| 63 |
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| 0.1903 | 1.2003 | 4320 | 0.2267 |
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| 64 |
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| 0.1872 | 1.4004 | 5040 | 0.2187 |
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| 65 |
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| 0.1831 | 1.6004 | 5760 | 0.2105 |
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| 66 |
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| 0.1785 | 1.8005 | 6480 | 0.2082 |
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| 67 |
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| 0.1736 | 2.0006 | 7200 | 0.1973 |
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| 68 |
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| 0.1512 | 2.2006 | 7920 | 0.1999 |
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| 69 |
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| 0.1414 | 2.4007 | 8640 | 0.1973 |
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| 70 |
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| 0.1413 | 2.6007 | 9360 | 0.1891 |
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| 71 |
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| 0.1397 | 2.8008 | 10080 | 0.1857 |
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| 72 |
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| 0.1401 | 3.0008 | 10800 | 0.1840 |
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| 73 |
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| 0.1111 | 3.2009 | 11520 | 0.1837 |
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| 74 |
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| 0.1135 | 3.4009 | 12240 | 0.1819 |
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| 75 |
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| 0.1138 | 3.6010 | 12960 | 0.1821 |
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| 76 |
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| 0.1133 | 3.8011 | 13680 | 0.1799 |
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| 77 |
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| 0.1147 | 4.0011 | 14400 | 0.1769 |
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| 78 |
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| 0.0871 | 4.2012 | 15120 | 0.1822 |
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| 79 |
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| 0.0902 | 4.4012 | 15840 | 0.1860 |
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| 80 |
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| 0.0921 | 4.6013 | 16560 | 0.1809 |
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| 81 |
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| 0.0956 | 4.8013 | 17280 | 0.1696 |
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| 82 |
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| 0.0932 | 5.0014 | 18000 | 0.1711 |
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| 83 |
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| 0.0706 | 5.2014 | 18720 | 0.1792 |
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| 84 |
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| 0.0715 | 5.4015 | 19440 | 0.1803 |
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| 85 |
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| 0.075 | 5.6016 | 20160 | 0.1746 |
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| 86 |
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| 0.0775 | 5.8016 | 20880 | 0.1798 |
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| 87 |
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| 0.0759 | 6.0017 | 21600 | 0.1766 |
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| 88 |
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| 0.0604 | 6.2017 | 22320 | 0.1849 |
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| 89 |
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| 0.0608 | 6.4018 | 23040 | 0.1875 |
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| 90 |
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| 0.0626 | 6.6018 | 23760 | 0.1774 |
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| 91 |
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| 0.0614 | 6.8019 | 24480 | 0.1776 |
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| 92 |
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| 0.0622 | 7.0019 | 25200 | 0.1798 |
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| 93 |
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| 0.0505 | 7.2020 | 25920 | 0.1918 |
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| 94 |
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| 0.0475 | 7.4021 | 26640 | 0.1941 |
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| 95 |
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| 0.0487 | 7.6021 | 27360 | 0.1886 |
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| 96 |
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| 0.0507 | 7.8022 | 28080 | 0.1860 |
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| 97 |
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| 0.0507 | 8.0022 | 28800 | 0.1883 |
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| 98 |
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| 0.0372 | 8.2023 | 29520 | 0.2032 |
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| 99 |
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| 0.0368 | 8.4023 | 30240 | 0.1974 |
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| 100 |
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| 0.0383 | 8.6024 | 30960 | 0.1965 |
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| 101 |
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| 0.0387 | 8.8024 | 31680 | 0.1971 |
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| 102 |
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| 0.0395 | 9.0025 | 32400 | 0.1936 |
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| 103 |
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| 0.0277 | 9.2026 | 33120 | 0.2076 |
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| 104 |
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| 0.0287 | 9.4026 | 33840 | 0.1991 |
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| 105 |
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| 0.0305 | 9.6027 | 34560 | 0.2040 |
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| 106 |
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| 0.0315 | 9.8027 | 35280 | 0.2068 |
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| 107 |
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| 0.0305 | 10.0028 | 36000 | 0.1999 |
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| 108 |
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| 0.0228 | 10.2028 | 36720 | 0.2139 |
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| 109 |
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| 0.0226 | 10.4029 | 37440 | 0.2154 |
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| 110 |
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| 0.0237 | 10.6029 | 38160 | 0.2152 |
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| 111 |
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| 0.0236 | 10.8030 | 38880 | 0.2104 |
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| 112 |
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| 0.0236 | 11.0031 | 39600 | 0.2112 |
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| 113 |
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| 0.0192 | 11.2031 | 40320 | 0.2329 |
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| 114 |
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| 0.0186 | 11.4032 | 41040 | 0.2319 |
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| 115 |
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| 0.0184 | 11.6032 | 41760 | 0.2299 |
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| 116 |
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| 0.0189 | 11.8033 | 42480 | 0.2294 |
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| 117 |
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| 118 |
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|
| 119 |
+
### Framework versions
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| 120 |
+
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| 121 |
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- PEFT 0.17.1
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| 122 |
+
- Transformers 4.55.4
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| 123 |
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- Pytorch 2.8.0+cu128
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| 124 |
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- Datasets 4.0.0
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| 125 |
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- Tokenizers 0.21.4
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loss_plot.png
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special_tokens_map.json
ADDED
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| 1 |
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{
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| 2 |
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"bos_token": {
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| 3 |
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"content": "<｜begin▁of▁sentence｜>",
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| 4 |
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"lstrip": false,
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| 5 |
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"normalized": true,
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| 6 |
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"rstrip": false,
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| 7 |
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"single_word": false
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| 8 |
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},
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| 9 |
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"eos_token": {
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| 10 |
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"content": "<｜end▁of▁sentence｜>",
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| 11 |
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"lstrip": false,
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| 12 |
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"normalized": true,
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| 13 |
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"rstrip": false,
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| 14 |
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"single_word": false
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| 15 |
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},
|
| 16 |
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"pad_token": {
|
| 17 |
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"content": "<｜end▁of▁sentence｜>",
|
| 18 |
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"lstrip": false,
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| 19 |
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"normalized": true,
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| 20 |
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"rstrip": false,
|
| 21 |
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"single_word": false
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| 22 |
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}
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| 23 |
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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| 1 |
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{
|
| 2 |
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"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"32000": {
|
| 7 |
+
"content": "õ",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": true,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": false
|
| 13 |
+
},
|
| 14 |
+
"32001": {
|
| 15 |
+
"content": "÷",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": true,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": false
|
| 21 |
+
},
|
| 22 |
+
"32002": {
|
| 23 |
+
"content": "Á",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": true,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": false
|
| 29 |
+
},
|
| 30 |
+
"32003": {
|
| 31 |
+
"content": "ý",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": false
|
| 37 |
+
},
|
| 38 |
+
"32004": {
|
| 39 |
+
"content": "À",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": true,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": false
|
| 45 |
+
},
|
| 46 |
+
"32005": {
|
| 47 |
+
"content": "ÿ",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": true,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": false
|
| 53 |
+
},
|
| 54 |
+
"32006": {
|
| 55 |
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"content": "ø",
|
| 56 |
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"lstrip": false,
|
| 57 |
+
"normalized": true,
|
| 58 |
+
"rstrip": false,
|
| 59 |
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"single_word": false,
|
| 60 |
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"special": false
|
| 61 |
+
},
|
| 62 |
+
"32007": {
|
| 63 |
+
"content": "ú",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": true,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": false
|
| 69 |
+
},
|
| 70 |
+
"32008": {
|
| 71 |
+
"content": "þ",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": true,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": false
|
| 77 |
+
},
|
| 78 |
+
"32009": {
|
| 79 |
+
"content": "ü",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": true,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": false
|
| 85 |
+
},
|
| 86 |
+
"32010": {
|
| 87 |
+
"content": "ù",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": true,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": false
|
| 93 |
+
},
|
| 94 |
+
"32011": {
|
| 95 |
+
"content": "ö",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": true,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": false
|
| 101 |
+
},
|
| 102 |
+
"32012": {
|
| 103 |
+
"content": "û",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": true,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": false
|
| 109 |
+
},
|
| 110 |
+
"32013": {
|
| 111 |
+
"content": "<｜begin▁of▁sentence｜>",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": true,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": true
|
| 117 |
+
},
|
| 118 |
+
"32014": {
|
| 119 |
+
"content": "<｜end▁of▁sentence｜>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": true,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": true
|
| 125 |
+
},
|
| 126 |
+
"32015": {
|
| 127 |
+
"content": "<｜fim▁hole｜>",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": true,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": false
|
| 133 |
+
},
|
| 134 |
+
"32016": {
|
| 135 |
+
"content": "<｜fim▁begin｜>",
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"normalized": true,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"single_word": false,
|
| 140 |
+
"special": false
|
| 141 |
+
},
|
| 142 |
+
"32017": {
|
| 143 |
+
"content": "<｜fim▁end｜>",
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"normalized": true,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"single_word": false,
|
| 148 |
+
"special": false
|
| 149 |
+
},
|
| 150 |
+
"32018": {
|
| 151 |
+
"content": "<pad>",
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"normalized": true,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"single_word": false,
|
| 156 |
+
"special": false
|
| 157 |
+
},
|
| 158 |
+
"32019": {
|
| 159 |
+
"content": "<|User|>",
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"normalized": true,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"single_word": false,
|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
+
"32020": {
|
| 167 |
+
"content": "<|Assistant|>",
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"normalized": true,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"single_word": false,
|
| 172 |
+
"special": false
|
| 173 |
+
},
|
| 174 |
+
"32021": {
|
| 175 |
+
"content": "<|EOT|>",
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"normalized": true,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"single_word": false,
|
| 180 |
+
"special": false
|
| 181 |
+
}
|
| 182 |
+
},
|
| 183 |
+
"bos_token": "<｜begin▁of▁sentence｜>",
|
| 184 |
+
"clean_up_tokenization_spaces": false,
|
| 185 |
+
"eos_token": "<｜end▁of▁sentence｜>",
|
| 186 |
+
"extra_special_tokens": {},
|
| 187 |
+
"legacy": true,
|
| 188 |
+
"model_max_length": 16384,
|
| 189 |
+
"pad_token": "<｜end▁of▁sentence｜>",
|
| 190 |
+
"sp_model_kwargs": {},
|
| 191 |
+
"tokenizer_class": "LlamaTokenizerFast",
|
| 192 |
+
"unk_token": null,
|
| 193 |
+
"use_default_system_prompt": false
|
| 194 |
+
}
|