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-task4-option2_small-deepseek-coder-1.3b-base-ddp-8lr
+  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-task4-option2_small-deepseek-coder-1.3b-base-ddp-8lr
+
+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: 0.0643
+
+## 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: 12
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss |
+|:-------------:|:-------:|:-----:|:---------------:|
+| 0.1964        | 0.2001  | 629   | 0.1207          |
+| 0.1225        | 0.4001  | 1258  | 0.1088          |
+| 0.1108        | 0.6002  | 1887  | 0.0987          |
+| 0.1024        | 0.8003  | 2516  | 0.0969          |
+| 0.0983        | 1.0003  | 3145  | 0.0961          |
+| 0.0955        | 1.2004  | 3774  | 0.0957          |
+| 0.0941        | 1.4004  | 4403  | 0.0907          |
+| 0.09          | 1.6005  | 5032  | 0.0873          |
+| 0.0908        | 1.8006  | 5661  | 0.0866          |
+| 0.0869        | 2.0006  | 6290  | 0.0929          |
+| 0.0879        | 2.2007  | 6919  | 0.0852          |
+| 0.0865        | 2.4008  | 7548  | 0.0827          |
+| 0.0845        | 2.6008  | 8177  | 0.0800          |
+| 0.087         | 2.8009  | 8806  | 0.0829          |
+| 0.0835        | 3.0010  | 9435  | 0.0819          |
+| 0.0811        | 3.2010  | 10064 | 0.0820          |
+| 0.0802        | 3.4011  | 10693 | 0.0771          |
+| 0.0794        | 3.6011  | 11322 | 0.0773          |
+| 0.0794        | 3.8012  | 11951 | 0.0793          |
+| 0.079         | 4.0013  | 12580 | 0.0795          |
+| 0.0777        | 4.2013  | 13209 | 0.0781          |
+| 0.0746        | 4.4014  | 13838 | 0.0748          |
+| 0.076         | 4.6015  | 14467 | 0.0764          |
+| 0.0769        | 4.8015  | 15096 | 0.0740          |
+| 0.0748        | 5.0016  | 15725 | 0.0766          |
+| 0.0734        | 5.2017  | 16354 | 0.0734          |
+| 0.0734        | 5.4017  | 16983 | 0.0731          |
+| 0.0713        | 5.6018  | 17612 | 0.0739          |
+| 0.0733        | 5.8018  | 18241 | 0.0707          |
+| 0.0712        | 6.0019  | 18870 | 0.0768          |
+| 0.0705        | 6.2020  | 19499 | 0.0712          |
+| 0.0692        | 6.4020  | 20128 | 0.0704          |
+| 0.0697        | 6.6021  | 20757 | 0.0683          |
+| 0.0681        | 6.8022  | 21386 | 0.0681          |
+| 0.0688        | 7.0022  | 22015 | 0.0694          |
+| 0.0668        | 7.2023  | 22644 | 0.0690          |
+| 0.0663        | 7.4024  | 23273 | 0.0682          |
+| 0.0669        | 7.6024  | 23902 | 0.0676          |
+| 0.0656        | 7.8025  | 24531 | 0.0680          |
+| 0.0656        | 8.0025  | 25160 | 0.0675          |
+| 0.0635        | 8.2026  | 25789 | 0.0673          |
+| 0.0628        | 8.4027  | 26418 | 0.0660          |
+| 0.0643        | 8.6027  | 27047 | 0.0662          |
+| 0.0632        | 8.8028  | 27676 | 0.0651          |
+| 0.0632        | 9.0029  | 28305 | 0.0650          |
+| 0.062         | 9.2029  | 28934 | 0.0657          |
+| 0.0613        | 9.4030  | 29563 | 0.0659          |
+| 0.0611        | 9.6031  | 30192 | 0.0661          |
+| 0.0612        | 9.8031  | 30821 | 0.0646          |
+| 0.0613        | 10.0032 | 31450 | 0.0633          |
+| 0.0589        | 10.2032 | 32079 | 0.0642          |
+| 0.0597        | 10.4033 | 32708 | 0.0640          |
+| 0.0592        | 10.6034 | 33337 | 0.0633          |
+| 0.0593        | 10.8034 | 33966 | 0.0633          |
+| 0.0596        | 11.0035 | 34595 | 0.0631          |
+| 0.0583        | 11.2036 | 35224 | 0.0636          |
+| 0.0581        | 11.4036 | 35853 | 0.0638          |
+| 0.0583        | 11.6037 | 36482 | 0.0647          |
+| 0.0572        | 11.8038 | 37111 | 0.0643          |
+
+
+### 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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