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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_full-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_full-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: 0.2261 |
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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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| 0.4519 | 0.2 | 3094 | 0.4528 | |
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| 0.4192 | 0.4 | 6188 | 0.4162 | |
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| 0.4051 | 0.6 | 9282 | 0.4043 | |
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| 0.3928 | 0.8 | 12376 | 0.3904 | |
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| 0.3846 | 1.0 | 15470 | 0.3827 | |
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| 0.3797 | 1.2 | 18564 | 0.3772 | |
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| 0.3744 | 1.4 | 21658 | 0.3697 | |
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| 0.3697 | 1.6 | 24752 | 0.3640 | |
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| 0.3643 | 1.8 | 27846 | 0.3624 | |
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| 0.3614 | 2.0 | 30940 | 0.3526 | |
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| 0.3546 | 2.2 | 34034 | 0.3512 | |
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| 0.3503 | 2.4 | 37128 | 0.3487 | |
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| 0.345 | 2.6 | 40222 | 0.3421 | |
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| 0.3449 | 2.8 | 43316 | 0.3431 | |
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| 0.3421 | 3.0 | 46410 | 0.3432 | |
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| 0.335 | 3.2 | 49504 | 0.3359 | |
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| 0.3351 | 3.4 | 52598 | 0.3336 | |
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| 0.33 | 3.6 | 55692 | 0.3340 | |
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| 0.3283 | 3.8 | 58786 | 0.3282 | |
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| 0.3266 | 4.0 | 61880 | 0.3166 | |
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| 0.317 | 4.2 | 64974 | 0.3149 | |
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| 0.3122 | 4.4 | 68068 | 0.3149 | |
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| 0.313 | 4.6 | 71162 | 0.3147 | |
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| 0.3043 | 4.8 | 74256 | 0.3130 | |
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| 0.3019 | 5.0 | 77350 | 0.3036 | |
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| 0.2952 | 5.2 | 80444 | 0.3000 | |
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| 0.2996 | 5.4 | 83538 | 0.3003 | |
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| 0.2957 | 5.6 | 86632 | 0.2993 | |
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| 0.2935 | 5.8 | 89726 | 0.3047 | |
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| 0.2885 | 6.0 | 92820 | 0.2928 | |
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| 0.2755 | 6.2 | 95914 | 0.2915 | |
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| 0.2763 | 6.4 | 99008 | 0.2875 | |
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| 0.2755 | 6.6 | 102102 | 0.2855 | |
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| 0.2811 | 6.8 | 105196 | 0.2812 | |
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| 0.2704 | 7.0 | 108290 | 0.2796 | |
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| 0.26 | 7.2 | 111384 | 0.2776 | |
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| 0.2564 | 7.4 | 114478 | 0.2691 | |
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| 0.2613 | 7.6 | 117572 | 0.2702 | |
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| 0.2568 | 7.8 | 120666 | 0.2684 | |
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| 0.2579 | 8.0 | 123760 | 0.2643 | |
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| 0.2422 | 8.2 | 126854 | 0.2624 | |
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| 0.243 | 8.4 | 129948 | 0.2619 | |
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| 0.2421 | 8.6 | 133042 | 0.2583 | |
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| 0.2455 | 8.8 | 136136 | 0.2575 | |
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| 0.2428 | 9.0 | 139230 | 0.2511 | |
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| 0.2286 | 9.2 | 142324 | 0.2478 | |
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| 0.227 | 9.4 | 145418 | 0.2507 | |
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| 0.2246 | 9.6 | 148512 | 0.2474 | |
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| 0.2273 | 9.8 | 151606 | 0.2452 | |
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| 0.2211 | 10.0 | 154700 | 0.2432 | |
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| 0.2117 | 10.2 | 157794 | 0.2434 | |
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| 0.2098 | 10.4 | 160888 | 0.2377 | |
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| 0.2092 | 10.6 | 163982 | 0.2376 | |
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| 0.2073 | 10.8 | 167076 | 0.2355 | |
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| 0.2051 | 11.0 | 170170 | 0.2303 | |
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| 0.1966 | 11.2 | 173264 | 0.2321 | |
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| 0.1923 | 11.4 | 176358 | 0.2294 | |
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| 0.1913 | 11.6 | 179452 | 0.2275 | |
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| 0.189 | 11.8 | 182546 | 0.2267 | |
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| 0.1924 | 12.0 | 185640 | 0.2261 | |
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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 |
