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-min_symbols_template_full-deepseek-coder-1.3b-base-ddp
+  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-min_symbols_template_full-deepseek-coder-1.3b-base-ddp
+
+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: 0.1978
+
+## 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: 0.001
+- 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 |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.3666        | 0.2000 | 2907  | 0.3499          |
+| 0.3395        | 0.4001 | 5814  | 0.3318          |
+| 0.3267        | 0.6001 | 8721  | 0.3205          |
+| 0.3174        | 0.8001 | 11628 | 0.3100          |
+| 0.305         | 1.0001 | 14535 | 0.3098          |
+| 0.3004        | 1.2002 | 17442 | 0.2988          |
+| 0.3017        | 1.4002 | 20349 | 0.2947          |
+| 0.2912        | 1.6002 | 23256 | 0.2879          |
+| 0.2843        | 1.8002 | 26163 | 0.2795          |
+| 0.2793        | 2.0003 | 29070 | 0.2770          |
+| 0.27          | 2.2003 | 31977 | 0.2737          |
+| 0.2697        | 2.4003 | 34884 | 0.2725          |
+| 0.2641        | 2.6004 | 37791 | 0.2652          |
+| 0.2586        | 2.8004 | 40698 | 0.2608          |
+| 0.2564        | 3.0004 | 43605 | 0.2545          |
+| 0.2464        | 3.2004 | 46512 | 0.2516          |
+| 0.2428        | 3.4005 | 49419 | 0.2442          |
+| 0.2395        | 3.6005 | 52326 | 0.2403          |
+| 0.234         | 3.8005 | 55233 | 0.2367          |
+| 0.2299        | 4.0006 | 58140 | 0.2311          |
+| 0.2178        | 4.2006 | 61047 | 0.2271          |
+| 0.2163        | 4.4006 | 63954 | 0.2227          |
+| 0.2114        | 4.6006 | 66861 | 0.2175          |
+| 0.2083        | 4.8007 | 69768 | 0.2150          |
+| 0.2026        | 5.0007 | 72675 | 0.2100          |
+| 0.1907        | 5.2007 | 75582 | 0.2065          |
+| 0.1893        | 5.4007 | 78489 | 0.2020          |
+| 0.1874        | 5.6008 | 81396 | 0.1982          |
+| 0.1812        | 5.8008 | 84303 | 0.1978          |
+
+
+### 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": [
+    "q_proj",
+    "v_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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