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--- |
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library_name: peft |
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license: other |
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base_model: deepseek-ai/deepseek-coder-1.3b-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: lemexp-task1-v2-lemma_object_small-deepseek-coder-1.3b-base-ddp-8lr-v2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# lemexp-task1-v2-lemma_object_small-deepseek-coder-1.3b-base-ddp-8lr-v2 |
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2634 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0008 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 12 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:-----:|:---------------:| |
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| 0.5858 | 0.2001 | 720 | 0.4896 | |
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| 0.4652 | 0.4001 | 1440 | 0.4362 | |
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| 0.4072 | 0.6002 | 2160 | 0.4134 | |
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| 0.3941 | 0.8002 | 2880 | 0.3971 | |
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| 0.3765 | 1.0003 | 3600 | 0.3855 | |
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| 0.3457 | 1.2003 | 4320 | 0.3746 | |
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| 0.3401 | 1.4004 | 5040 | 0.3664 | |
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| 0.3392 | 1.6004 | 5760 | 0.3655 | |
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| 0.3354 | 1.8005 | 6480 | 0.3511 | |
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| 0.3286 | 2.0006 | 7200 | 0.3507 | |
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| 0.3095 | 2.2006 | 7920 | 0.3500 | |
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| 0.3046 | 2.4007 | 8640 | 0.3373 | |
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| 0.3004 | 2.6007 | 9360 | 0.3278 | |
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| 0.2993 | 2.8008 | 10080 | 0.3210 | |
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| 0.3009 | 3.0008 | 10800 | 0.3270 | |
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| 0.2759 | 3.2009 | 11520 | 0.3232 | |
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| 0.2782 | 3.4009 | 12240 | 0.3173 | |
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| 0.2768 | 3.6010 | 12960 | 0.3180 | |
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| 0.276 | 3.8011 | 13680 | 0.3124 | |
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| 0.2772 | 4.0011 | 14400 | 0.3027 | |
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| 0.2495 | 4.2012 | 15120 | 0.3122 | |
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| 0.2575 | 4.4012 | 15840 | 0.3063 | |
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| 0.2525 | 4.6013 | 16560 | 0.2970 | |
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| 0.2586 | 4.8013 | 17280 | 0.3007 | |
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| 0.2518 | 5.0014 | 18000 | 0.3017 | |
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| 0.2297 | 5.2014 | 18720 | 0.2969 | |
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| 0.2316 | 5.4015 | 19440 | 0.2911 | |
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| 0.2355 | 5.6016 | 20160 | 0.2951 | |
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| 0.2358 | 5.8016 | 20880 | 0.2850 | |
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| 0.2308 | 6.0017 | 21600 | 0.2823 | |
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| 0.2135 | 6.2017 | 22320 | 0.2825 | |
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| 0.2151 | 6.4018 | 23040 | 0.2798 | |
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| 0.2143 | 6.6018 | 23760 | 0.2780 | |
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| 0.2131 | 6.8019 | 24480 | 0.2756 | |
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| 0.2126 | 7.0019 | 25200 | 0.2703 | |
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| 0.1967 | 7.2020 | 25920 | 0.2741 | |
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| 0.1922 | 7.4021 | 26640 | 0.2734 | |
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| 0.1928 | 7.6021 | 27360 | 0.2694 | |
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| 0.1931 | 7.8022 | 28080 | 0.2635 | |
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| 0.1958 | 8.0022 | 28800 | 0.2680 | |
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| 0.1732 | 8.2023 | 29520 | 0.2659 | |
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| 0.1711 | 8.4023 | 30240 | 0.2651 | |
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| 0.1736 | 8.6024 | 30960 | 0.2650 | |
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| 0.172 | 8.8024 | 31680 | 0.2565 | |
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| 0.1752 | 9.0025 | 32400 | 0.2579 | |
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| 0.1521 | 9.2026 | 33120 | 0.2709 | |
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| 0.1519 | 9.4026 | 33840 | 0.2620 | |
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| 0.1569 | 9.6027 | 34560 | 0.2624 | |
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| 0.1548 | 9.8027 | 35280 | 0.2566 | |
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| 0.152 | 10.0028 | 36000 | 0.2577 | |
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| 0.1338 | 10.2028 | 36720 | 0.2610 | |
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| 0.1353 | 10.4029 | 37440 | 0.2582 | |
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| 0.1346 | 10.6029 | 38160 | 0.2583 | |
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| 0.1347 | 10.8030 | 38880 | 0.2576 | |
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| 0.1361 | 11.0031 | 39600 | 0.2593 | |
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| 0.1219 | 11.2031 | 40320 | 0.2644 | |
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| 0.1203 | 11.4032 | 41040 | 0.2636 | |
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| 0.1188 | 11.6032 | 41760 | 0.2645 | |
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| 0.1186 | 11.8033 | 42480 | 0.2634 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
