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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_old_defs-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_old_defs-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: 0.2381 |
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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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| 0.5903 | 0.2002 | 721 | 0.4468 | |
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| 0.4617 | 0.4003 | 1442 | 0.4101 | |
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| 0.4065 | 0.6005 | 2163 | 0.3815 | |
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| 0.3953 | 0.8007 | 2884 | 0.3736 | |
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| 0.3762 | 1.0008 | 3605 | 0.3610 | |
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| 0.3464 | 1.2010 | 4326 | 0.3498 | |
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| 0.342 | 1.4012 | 5047 | 0.3414 | |
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| 0.3355 | 1.6013 | 5768 | 0.3293 | |
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| 0.3346 | 1.8015 | 6489 | 0.3263 | |
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| 0.3291 | 2.0017 | 7210 | 0.3199 | |
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| 0.3115 | 2.2018 | 7931 | 0.3223 | |
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| 0.3056 | 2.4020 | 8652 | 0.3258 | |
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| 0.3056 | 2.6022 | 9373 | 0.3144 | |
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| 0.301 | 2.8023 | 10094 | 0.3074 | |
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| 0.3017 | 3.0025 | 10815 | 0.3054 | |
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| 0.2774 | 3.2027 | 11536 | 0.3043 | |
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| 0.2761 | 3.4028 | 12257 | 0.2997 | |
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| 0.2753 | 3.6030 | 12978 | 0.2922 | |
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| 0.2789 | 3.8032 | 13699 | 0.2881 | |
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| 0.2735 | 4.0033 | 14420 | 0.2874 | |
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| 0.2533 | 4.2035 | 15141 | 0.2853 | |
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| 0.254 | 4.4037 | 15862 | 0.2875 | |
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| 0.254 | 4.6038 | 16583 | 0.2818 | |
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| 0.2547 | 4.8040 | 17304 | 0.2785 | |
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| 0.255 | 5.0042 | 18025 | 0.2792 | |
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| 0.23 | 5.2043 | 18746 | 0.2723 | |
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| 0.2314 | 5.4045 | 19467 | 0.2717 | |
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| 0.2314 | 5.6047 | 20188 | 0.2655 | |
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| 0.2339 | 5.8048 | 20909 | 0.2682 | |
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| 0.2344 | 6.0050 | 21630 | 0.2643 | |
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| 0.2147 | 6.2052 | 22351 | 0.2617 | |
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| 0.2143 | 6.4053 | 23072 | 0.2637 | |
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| 0.2139 | 6.6055 | 23793 | 0.2562 | |
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| 0.2156 | 6.8057 | 24514 | 0.2513 | |
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| 0.2131 | 7.0058 | 25235 | 0.2564 | |
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| 0.1988 | 7.2060 | 25956 | 0.2510 | |
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| 0.195 | 7.4062 | 26677 | 0.2510 | |
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| 0.1942 | 7.6063 | 27398 | 0.2495 | |
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| 0.1929 | 7.8065 | 28119 | 0.2455 | |
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| 0.1937 | 8.0067 | 28840 | 0.2456 | |
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| 0.1703 | 8.2068 | 29561 | 0.2437 | |
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| 0.1748 | 8.4070 | 30282 | 0.2413 | |
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| 0.1752 | 8.6072 | 31003 | 0.2385 | |
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| 0.174 | 8.8073 | 31724 | 0.2368 | |
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| 0.1728 | 9.0075 | 32445 | 0.2406 | |
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| 0.1517 | 9.2077 | 33166 | 0.2411 | |
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| 0.1526 | 9.4078 | 33887 | 0.2396 | |
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| 0.154 | 9.6080 | 34608 | 0.2359 | |
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| 0.1561 | 9.8082 | 35329 | 0.2348 | |
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| 0.1542 | 10.0083 | 36050 | 0.2369 | |
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| 0.1347 | 10.2085 | 36771 | 0.2427 | |
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| 0.134 | 10.4087 | 37492 | 0.2374 | |
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| 0.1357 | 10.6088 | 38213 | 0.2378 | |
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| 0.1357 | 10.8090 | 38934 | 0.2324 | |
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| 0.1334 | 11.0092 | 39655 | 0.2344 | |
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| 0.1227 | 11.2093 | 40376 | 0.2378 | |
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| 0.1193 | 11.4095 | 41097 | 0.2367 | |
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| 0.1208 | 11.6097 | 41818 | 0.2378 | |
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| 0.1201 | 11.8098 | 42539 | 0.2381 | |
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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 |
