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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: 0.2352 |
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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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| 0.588 | 0.2002 | 721 | 0.4356 | |
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| 0.4481 | 0.4003 | 1442 | 0.4067 | |
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| 0.397 | 0.6005 | 2163 | 0.3795 | |
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| 0.3841 | 0.8007 | 2884 | 0.3673 | |
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| 0.3666 | 1.0008 | 3605 | 0.3445 | |
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| 0.3409 | 1.2010 | 4326 | 0.3416 | |
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| 0.3347 | 1.4012 | 5047 | 0.3323 | |
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| 0.3285 | 1.6013 | 5768 | 0.3313 | |
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| 0.3288 | 1.8015 | 6489 | 0.3217 | |
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| 0.3232 | 2.0017 | 7210 | 0.3111 | |
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| 0.3048 | 2.2018 | 7931 | 0.3151 | |
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| 0.3004 | 2.4020 | 8652 | 0.3155 | |
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| 0.2994 | 2.6022 | 9373 | 0.3052 | |
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| 0.2939 | 2.8023 | 10094 | 0.3023 | |
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| 0.2948 | 3.0025 | 10815 | 0.3001 | |
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| 0.2702 | 3.2027 | 11536 | 0.2995 | |
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| 0.2707 | 3.4028 | 12257 | 0.2913 | |
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| 0.2696 | 3.6030 | 12978 | 0.2870 | |
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| 0.2729 | 3.8032 | 13699 | 0.2859 | |
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| 0.2697 | 4.0033 | 14420 | 0.2853 | |
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| 0.2497 | 4.2035 | 15141 | 0.2815 | |
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| 0.2497 | 4.4037 | 15862 | 0.2768 | |
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| 0.2503 | 4.6038 | 16583 | 0.2748 | |
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| 0.2505 | 4.8040 | 17304 | 0.2728 | |
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| 0.2491 | 5.0042 | 18025 | 0.2706 | |
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| 0.2254 | 5.2043 | 18746 | 0.2711 | |
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| 0.2274 | 5.4045 | 19467 | 0.2669 | |
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| 0.2283 | 5.6047 | 20188 | 0.2661 | |
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| 0.2294 | 5.8048 | 20909 | 0.2616 | |
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| 0.2304 | 6.0050 | 21630 | 0.2598 | |
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| 0.2099 | 6.2052 | 22351 | 0.2619 | |
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| 0.2101 | 6.4053 | 23072 | 0.2603 | |
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| 0.2098 | 6.6055 | 23793 | 0.2579 | |
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| 0.2105 | 6.8057 | 24514 | 0.2530 | |
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| 0.2085 | 7.0058 | 25235 | 0.2564 | |
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| 0.1949 | 7.2060 | 25956 | 0.2512 | |
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| 0.1914 | 7.4062 | 26677 | 0.2459 | |
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| 0.1901 | 7.6063 | 27398 | 0.2432 | |
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| 0.1892 | 7.8065 | 28119 | 0.2481 | |
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| 0.1893 | 8.0067 | 28840 | 0.2445 | |
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| 0.1676 | 8.2068 | 29561 | 0.2409 | |
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| 0.1706 | 8.4070 | 30282 | 0.2376 | |
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| 0.1713 | 8.6072 | 31003 | 0.2342 | |
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| 0.1711 | 8.8073 | 31724 | 0.2323 | |
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| 0.1691 | 9.0075 | 32445 | 0.2403 | |
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| 0.1485 | 9.2077 | 33166 | 0.2380 | |
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| 0.1483 | 9.4078 | 33887 | 0.2373 | |
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| 0.152 | 9.6080 | 34608 | 0.2343 | |
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| 0.1523 | 9.8082 | 35329 | 0.2318 | |
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| 0.1505 | 10.0083 | 36050 | 0.2356 | |
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| 0.1311 | 10.2085 | 36771 | 0.2393 | |
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| 0.1316 | 10.4087 | 37492 | 0.2324 | |
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| 0.1324 | 10.6088 | 38213 | 0.2310 | |
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| 0.1334 | 10.8090 | 38934 | 0.2324 | |
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| 0.1305 | 11.0092 | 39655 | 0.2367 | |
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| 0.1194 | 11.2093 | 40376 | 0.2374 | |
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| 0.1164 | 11.4095 | 41097 | 0.2376 | |
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| 0.1181 | 11.6097 | 41818 | 0.2369 | |
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| 0.117 | 11.8098 | 42539 | 0.2352 | |
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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 |
