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lemexp-task1-v2-template_small_notypes-deepseek-coder-1.3b-base-ddp-8lr-v2

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  1. README.md +122 -0
  2. adapter_config.json +32 -0
  3. adapter_model.safetensors +3 -0
  4. loss_plot.png +0 -0
  5. training_args.bin +3 -0
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_small_notypes-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_small_notypes-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: 0.2128
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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: 12
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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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+ | 0.5379 | 0.2002 | 721 | 0.3839 |
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+ | 0.3922 | 0.4003 | 1442 | 0.3459 |
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+ | 0.3462 | 0.6005 | 2163 | 0.3251 |
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+ | 0.334 | 0.8007 | 2884 | 0.3103 |
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+ | 0.3192 | 1.0008 | 3605 | 0.2984 |
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+ | 0.2989 | 1.2010 | 4326 | 0.2893 |
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+ | 0.2947 | 1.4012 | 5047 | 0.2872 |
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+ | 0.288 | 1.6013 | 5768 | 0.2823 |
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+ | 0.2881 | 1.8015 | 6489 | 0.2746 |
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+ | 0.283 | 2.0017 | 7210 | 0.2784 |
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+ | 0.2719 | 2.2018 | 7931 | 0.2848 |
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+ | 0.2647 | 2.4020 | 8652 | 0.2616 |
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+ | 0.2638 | 2.6022 | 9373 | 0.2585 |
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+ | 0.2621 | 2.8023 | 10094 | 0.2601 |
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+ | 0.2579 | 3.0025 | 10815 | 0.2527 |
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+ | 0.2441 | 3.2027 | 11536 | 0.2526 |
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+ | 0.246 | 3.4028 | 12257 | 0.2436 |
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+ | 0.2426 | 3.6030 | 12978 | 0.2466 |
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+ | 0.2412 | 3.8032 | 13699 | 0.2427 |
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+ | 0.2401 | 4.0033 | 14420 | 0.2443 |
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+ | 0.2228 | 4.2035 | 15141 | 0.2429 |
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+ | 0.226 | 4.4037 | 15862 | 0.2408 |
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+ | 0.226 | 4.6038 | 16583 | 0.2292 |
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+ | 0.2234 | 4.8040 | 17304 | 0.2321 |
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+ | 0.219 | 5.0042 | 18025 | 0.2357 |
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+ | 0.2085 | 5.2043 | 18746 | 0.2277 |
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+ | 0.2065 | 5.4045 | 19467 | 0.2246 |
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+ | 0.2077 | 5.6047 | 20188 | 0.2284 |
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+ | 0.2065 | 5.8048 | 20909 | 0.2248 |
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+ | 0.2062 | 6.0050 | 21630 | 0.2215 |
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+ | 0.1941 | 6.2052 | 22351 | 0.2190 |
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+ | 0.1917 | 6.4053 | 23072 | 0.2202 |
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+ | 0.1916 | 6.6055 | 23793 | 0.2184 |
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+ | 0.1911 | 6.8057 | 24514 | 0.2094 |
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+ | 0.1889 | 7.0058 | 25235 | 0.2131 |
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+ | 0.1789 | 7.2060 | 25956 | 0.2148 |
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+ | 0.1757 | 7.4062 | 26677 | 0.2092 |
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+ | 0.1755 | 7.6063 | 27398 | 0.2067 |
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+ | 0.1738 | 7.8065 | 28119 | 0.2046 |
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+ | 0.1741 | 8.0067 | 28840 | 0.2051 |
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+ | 0.1566 | 8.2068 | 29561 | 0.2064 |
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+ | 0.1585 | 8.4070 | 30282 | 0.2087 |
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+ | 0.1595 | 8.6072 | 31003 | 0.2036 |
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+ | 0.1593 | 8.8073 | 31724 | 0.2071 |
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+ | 0.1568 | 9.0075 | 32445 | 0.2046 |
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+ | 0.1414 | 9.2077 | 33166 | 0.2060 |
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+ | 0.1419 | 9.4078 | 33887 | 0.2047 |
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+ | 0.1411 | 9.6080 | 34608 | 0.1990 |
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+ | 0.1425 | 9.8082 | 35329 | 0.2025 |
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+ | 0.1412 | 10.0083 | 36050 | 0.2006 |
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+ | 0.125 | 10.2085 | 36771 | 0.2067 |
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+ | 0.1235 | 10.4087 | 37492 | 0.2068 |
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+ | 0.1248 | 10.6088 | 38213 | 0.2025 |
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+ | 0.1265 | 10.8090 | 38934 | 0.2058 |
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+ | 0.1247 | 11.0092 | 39655 | 0.2063 |
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+ | 0.1147 | 11.2093 | 40376 | 0.2139 |
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+ | 0.1118 | 11.4095 | 41097 | 0.2175 |
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+ | 0.1116 | 11.6097 | 41818 | 0.2129 |
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+ | 0.1116 | 11.8098 | 42539 | 0.2128 |
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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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+ {
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base",
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+ "bias": "none",
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+ "eva_config": null,
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+ "exclude_modules": null,
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layer_replication": null,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 32,
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+ "lora_bias": false,
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+ "lora_dropout": 0.05,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 8,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "q_proj",
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+ "v_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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loss_plot.png ADDED
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