End of training

README.md

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+---
+library_name: peft
+license: other
+base_model: deepseek-ai/deepseek-coder-1.3b-base
+tags:
+- generated_from_trainer
+model-index:
+- name: lemexp-task1-v2-template_full-deepseek-coder-1.3b-base-ddp-8lr-v2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# lemexp-task1-v2-template_full-deepseek-coder-1.3b-base-ddp-8lr-v2
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.1529
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0008
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 16
+- total_eval_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.2779        | 0.2   | 3094  | 0.2787          |
+| 0.2568        | 0.4   | 6188  | 0.2658          |
+| 0.2493        | 0.6   | 9282  | 0.2520          |
+| 0.2413        | 0.8   | 12376 | 0.2400          |
+| 0.2362        | 1.0   | 15470 | 0.2373          |
+| 0.2298        | 1.2   | 18564 | 0.2296          |
+| 0.2272        | 1.4   | 21658 | 0.2256          |
+| 0.2194        | 1.6   | 24752 | 0.2186          |
+| 0.2189        | 1.8   | 27846 | 0.2178          |
+| 0.212         | 2.0   | 30940 | 0.2128          |
+| 0.206         | 2.2   | 34034 | 0.2165          |
+| 0.2037        | 2.4   | 37128 | 0.2034          |
+| 0.199         | 2.6   | 40222 | 0.2056          |
+| 0.1963        | 2.8   | 43316 | 0.2008          |
+| 0.1942        | 3.0   | 46410 | 0.1971          |
+| 0.1858        | 3.2   | 49504 | 0.1919          |
+| 0.1851        | 3.4   | 52598 | 0.1906          |
+| 0.1791        | 3.6   | 55692 | 0.1837          |
+| 0.1776        | 3.8   | 58786 | 0.1813          |
+| 0.1758        | 4.0   | 61880 | 0.1761          |
+| 0.166         | 4.2   | 64974 | 0.1732          |
+| 0.1633        | 4.4   | 68068 | 0.1701          |
+| 0.1593        | 4.6   | 71162 | 0.1687          |
+| 0.1541        | 4.8   | 74256 | 0.1683          |
+| 0.1525        | 5.0   | 77350 | 0.1623          |
+| 0.1445        | 5.2   | 80444 | 0.1623          |
+| 0.143         | 5.4   | 83538 | 0.1601          |
+| 0.1409        | 5.6   | 86632 | 0.1567          |
+| 0.1386        | 5.8   | 89726 | 0.1537          |
+| 0.1358        | 6.0   | 92820 | 0.1529          |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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training_args.bin

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