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End of training

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README.md ADDED
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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-template_full_nodefs-deepseek-coder-1.3b-base-ddp-8lr-v2
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+ results: []
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+ ---
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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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+
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+ # lemexp-task1-v2-template_full_nodefs-deepseek-coder-1.3b-base-ddp-8lr-v2
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+
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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: 0.1511
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 6
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.2738 | 0.2 | 3094 | 0.2743 |
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+ | 0.2543 | 0.4 | 6188 | 0.2529 |
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+ | 0.2473 | 0.6 | 9282 | 0.2452 |
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+ | 0.2395 | 0.8 | 12376 | 0.2414 |
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+ | 0.236 | 1.0 | 15470 | 0.2337 |
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+ | 0.227 | 1.2 | 18564 | 0.2317 |
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+ | 0.2256 | 1.4 | 21658 | 0.2184 |
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+ | 0.2178 | 1.6 | 24752 | 0.2154 |
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+ | 0.2172 | 1.8 | 27846 | 0.2153 |
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+ | 0.2107 | 2.0 | 30940 | 0.2135 |
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+ | 0.2048 | 2.2 | 34034 | 0.2110 |
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+ | 0.2022 | 2.4 | 37128 | 0.2038 |
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+ | 0.1967 | 2.6 | 40222 | 0.1990 |
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+ | 0.1947 | 2.8 | 43316 | 0.1957 |
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+ | 0.1923 | 3.0 | 46410 | 0.1944 |
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+ | 0.1841 | 3.2 | 49504 | 0.1878 |
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+ | 0.1831 | 3.4 | 52598 | 0.1876 |
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+ | 0.179 | 3.6 | 55692 | 0.1844 |
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+ | 0.1766 | 3.8 | 58786 | 0.1808 |
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+ | 0.1753 | 4.0 | 61880 | 0.1750 |
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+ | 0.1652 | 4.2 | 64974 | 0.1735 |
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+ | 0.1631 | 4.4 | 68068 | 0.1686 |
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+ | 0.1584 | 4.6 | 71162 | 0.1662 |
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+ | 0.1534 | 4.8 | 74256 | 0.1632 |
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+ | 0.1523 | 5.0 | 77350 | 0.1608 |
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+ | 0.1445 | 5.2 | 80444 | 0.1576 |
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+ | 0.1429 | 5.4 | 83538 | 0.1574 |
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+ | 0.1408 | 5.6 | 86632 | 0.1549 |
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+ | 0.1383 | 5.8 | 89726 | 0.1527 |
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+ | 0.1361 | 6.0 | 92820 | 0.1511 |
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+
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+
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+ ### Framework versions
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+
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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
adapter_config.json ADDED
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+ "loftq_config": {},
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "target_modules": [
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+ "q_proj",
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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