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_small-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_small-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: 0.2065
+
+## 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: 0.0002
+- 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 |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.5153        | 0.2001 | 629   | 0.3804          |
+| 0.3737        | 0.4001 | 1258  | 0.3328          |
+| 0.339         | 0.6002 | 1887  | 0.3059          |
+| 0.3011        | 0.8003 | 2516  | 0.2860          |
+| 0.2889        | 1.0003 | 3145  | 0.2774          |
+| 0.2715        | 1.2004 | 3774  | 0.2685          |
+| 0.2638        | 1.4004 | 4403  | 0.2573          |
+| 0.2513        | 1.6005 | 5032  | 0.2510          |
+| 0.2493        | 1.8006 | 5661  | 0.2448          |
+| 0.2416        | 2.0006 | 6290  | 0.2400          |
+| 0.2359        | 2.2007 | 6919  | 0.2365          |
+| 0.2247        | 2.4008 | 7548  | 0.2334          |
+| 0.2204        | 2.6008 | 8177  | 0.2292          |
+| 0.2208        | 2.8009 | 8806  | 0.2235          |
+| 0.2157        | 3.0010 | 9435  | 0.2226          |
+| 0.1976        | 3.2010 | 10064 | 0.2208          |
+| 0.1991        | 3.4011 | 10693 | 0.2209          |
+| 0.1982        | 3.6011 | 11322 | 0.2157          |
+| 0.1977        | 3.8012 | 11951 | 0.2140          |
+| 0.1949        | 4.0013 | 12580 | 0.2121          |
+| 0.1821        | 4.2013 | 13209 | 0.2135          |
+| 0.1791        | 4.4014 | 13838 | 0.2106          |
+| 0.1829        | 4.6015 | 14467 | 0.2089          |
+| 0.177         | 4.8015 | 15096 | 0.2085          |
+| 0.1789        | 5.0016 | 15725 | 0.2063          |
+| 0.1704        | 5.2017 | 16354 | 0.2083          |
+| 0.1667        | 5.4017 | 16983 | 0.2074          |
+| 0.1641        | 5.6018 | 17612 | 0.2068          |
+| 0.1642        | 5.8018 | 18241 | 0.2065          |
+
+
+### 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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+size 6304096

training_args.bin

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