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-lemma_command_full-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-task1-lemma_command_full-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: 0.4320
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|
+| 0.7149        | 0.2   | 2121   | 0.6754          |
+| 0.684         | 0.4   | 4242   | 0.6408          |
+| 0.6664        | 0.6   | 6363   | 0.6271          |
+| 0.6568        | 0.8   | 8484   | 0.6106          |
+| 0.6445        | 1.0   | 10605  | 0.6016          |
+| 0.6188        | 1.2   | 12726  | 0.5927          |
+| 0.618         | 1.4   | 14847  | 0.5864          |
+| 0.6161        | 1.6   | 16968  | 0.5864          |
+| 0.6239        | 1.8   | 19089  | 0.5779          |
+| 0.6126        | 2.0   | 21210  | 0.5764          |
+| 0.5882        | 2.2   | 23331  | 0.5680          |
+| 0.5955        | 2.4   | 25452  | 0.5647          |
+| 0.5858        | 2.6   | 27573  | 0.5615          |
+| 0.5882        | 2.8   | 29694  | 0.5574          |
+| 0.5819        | 3.0   | 31815  | 0.5504          |
+| 0.5759        | 3.2   | 33936  | 0.5544          |
+| 0.5647        | 3.4   | 36057  | 0.5479          |
+| 0.5687        | 3.6   | 38178  | 0.5458          |
+| 0.5692        | 3.8   | 40299  | 0.5415          |
+| 0.5633        | 4.0   | 42420  | 0.5398          |
+| 0.5489        | 4.2   | 44541  | 0.5299          |
+| 0.5482        | 4.4   | 46662  | 0.5246          |
+| 0.5443        | 4.6   | 48783  | 0.5246          |
+| 0.5466        | 4.8   | 50904  | 0.5225          |
+| 0.5464        | 5.0   | 53025  | 0.5157          |
+| 0.5249        | 5.2   | 55146  | 0.5203          |
+| 0.5323        | 5.4   | 57267  | 0.5115          |
+| 0.5227        | 5.6   | 59388  | 0.5075          |
+| 0.5277        | 5.8   | 61509  | 0.5074          |
+| 0.5214        | 6.0   | 63630  | 0.5040          |
+| 0.5115        | 6.2   | 65751  | 0.4969          |
+| 0.5088        | 6.4   | 67872  | 0.4950          |
+| 0.511         | 6.6   | 69993  | 0.4912          |
+| 0.5097        | 6.8   | 72114  | 0.4892          |
+| 0.5024        | 7.0   | 74235  | 0.4877          |
+| 0.4842        | 7.2   | 76356  | 0.4860          |
+| 0.484         | 7.4   | 78477  | 0.4832          |
+| 0.493         | 7.6   | 80598  | 0.4816          |
+| 0.4863        | 7.8   | 82719  | 0.4759          |
+| 0.4878        | 8.0   | 84840  | 0.4672          |
+| 0.4644        | 8.2   | 86961  | 0.4705          |
+| 0.4648        | 8.4   | 89082  | 0.4654          |
+| 0.4663        | 8.6   | 91203  | 0.4612          |
+| 0.4715        | 8.8   | 93324  | 0.4636          |
+| 0.4669        | 9.0   | 95445  | 0.4591          |
+| 0.4451        | 9.2   | 97566  | 0.4586          |
+| 0.4457        | 9.4   | 99687  | 0.4580          |
+| 0.4538        | 9.6   | 101808 | 0.4495          |
+| 0.4489        | 9.8   | 103929 | 0.4492          |
+| 0.4466        | 10.0  | 106050 | 0.4458          |
+| 0.4252        | 10.2  | 108171 | 0.4470          |
+| 0.4226        | 10.4  | 110292 | 0.4456          |
+| 0.4244        | 10.6  | 112413 | 0.4402          |
+| 0.4226        | 10.8  | 114534 | 0.4374          |
+| 0.4203        | 11.0  | 116655 | 0.4352          |
+| 0.4124        | 11.2  | 118776 | 0.4361          |
+| 0.4039        | 11.4  | 120897 | 0.4340          |
+| 0.405         | 11.6  | 123018 | 0.4321          |
+| 0.4083        | 11.8  | 125139 | 0.4314          |
+| 0.4025        | 12.0  | 127260 | 0.4320          |
+
+
+### 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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