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-task3-v2-small-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-task3-v2-small-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: 0.1304
+
+## 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 |
+|:-------------:|:-------:|:-----:|:---------------:|
+| 0.382         | 0.2001  | 720   | 0.2739          |
+| 0.2596        | 0.4001  | 1440  | 0.2392          |
+| 0.2144        | 0.6002  | 2160  | 0.2247          |
+| 0.2056        | 0.8002  | 2880  | 0.2076          |
+| 0.1927        | 1.0003  | 3600  | 0.1997          |
+| 0.1783        | 1.2003  | 4320  | 0.1963          |
+| 0.1726        | 1.4004  | 5040  | 0.1855          |
+| 0.1733        | 1.6004  | 5760  | 0.1810          |
+| 0.1697        | 1.8005  | 6480  | 0.1782          |
+| 0.1666        | 2.0006  | 7200  | 0.1705          |
+| 0.1581        | 2.2006  | 7920  | 0.1725          |
+| 0.1562        | 2.4007  | 8640  | 0.1662          |
+| 0.1509        | 2.6007  | 9360  | 0.1702          |
+| 0.1502        | 2.8008  | 10080 | 0.1607          |
+| 0.1493        | 3.0008  | 10800 | 0.1635          |
+| 0.1381        | 3.2009  | 11520 | 0.1604          |
+| 0.139         | 3.4009  | 12240 | 0.1577          |
+| 0.1388        | 3.6010  | 12960 | 0.1559          |
+| 0.1353        | 3.8011  | 13680 | 0.1573          |
+| 0.1375        | 4.0011  | 14400 | 0.1531          |
+| 0.1231        | 4.2012  | 15120 | 0.1536          |
+| 0.1277        | 4.4012  | 15840 | 0.1542          |
+| 0.127         | 4.6013  | 16560 | 0.1529          |
+| 0.1289        | 4.8013  | 17280 | 0.1467          |
+| 0.1242        | 5.0014  | 18000 | 0.1439          |
+| 0.1138        | 5.2014  | 18720 | 0.1419          |
+| 0.1153        | 5.4015  | 19440 | 0.1431          |
+| 0.1154        | 5.6016  | 20160 | 0.1398          |
+| 0.1159        | 5.8016  | 20880 | 0.1434          |
+| 0.1132        | 6.0017  | 21600 | 0.1394          |
+| 0.1052        | 6.2017  | 22320 | 0.1361          |
+| 0.1041        | 6.4018  | 23040 | 0.1401          |
+| 0.1061        | 6.6018  | 23760 | 0.1355          |
+| 0.105         | 6.8019  | 24480 | 0.1376          |
+| 0.106         | 7.0019  | 25200 | 0.1322          |
+| 0.0966        | 7.2020  | 25920 | 0.1357          |
+| 0.0947        | 7.4021  | 26640 | 0.1322          |
+| 0.0954        | 7.6021  | 27360 | 0.1341          |
+| 0.0949        | 7.8022  | 28080 | 0.1329          |
+| 0.097         | 8.0022  | 28800 | 0.1294          |
+| 0.0857        | 8.2023  | 29520 | 0.1291          |
+| 0.0852        | 8.4023  | 30240 | 0.1263          |
+| 0.0859        | 8.6024  | 30960 | 0.1289          |
+| 0.0843        | 8.8024  | 31680 | 0.1281          |
+| 0.0853        | 9.0025  | 32400 | 0.1254          |
+| 0.0755        | 9.2026  | 33120 | 0.1295          |
+| 0.0753        | 9.4026  | 33840 | 0.1253          |
+| 0.0776        | 9.6027  | 34560 | 0.1284          |
+| 0.0762        | 9.8027  | 35280 | 0.1220          |
+| 0.0757        | 10.0028 | 36000 | 0.1223          |
+| 0.0679        | 10.2028 | 36720 | 0.1242          |
+| 0.0687        | 10.4029 | 37440 | 0.1263          |
+| 0.0678        | 10.6029 | 38160 | 0.1281          |
+| 0.0678        | 10.8030 | 38880 | 0.1266          |
+| 0.068         | 11.0031 | 39600 | 0.1266          |
+| 0.0636        | 11.2031 | 40320 | 0.1287          |
+| 0.0624        | 11.4032 | 41040 | 0.1280          |
+| 0.0623        | 11.6032 | 41760 | 0.1303          |
+| 0.0613        | 11.8033 | 42480 | 0.1304          |
+
+
+### 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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