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_no_defs-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_no_defs-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: 0.1245
+
+## 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 |
+|:-------------:|:-------:|:-----:|:---------------:|
+| 0.4237        | 0.2001  | 720   | 0.2939          |
+| 0.2873        | 0.4001  | 1440  | 0.2619          |
+| 0.2345        | 0.6002  | 2160  | 0.2396          |
+| 0.2212        | 0.8002  | 2880  | 0.2263          |
+| 0.2041        | 1.0003  | 3600  | 0.2142          |
+| 0.1872        | 1.2003  | 4320  | 0.2103          |
+| 0.1829        | 1.4004  | 5040  | 0.1951          |
+| 0.1807        | 1.6004  | 5760  | 0.1921          |
+| 0.1776        | 1.8005  | 6480  | 0.1884          |
+| 0.1759        | 2.0006  | 7200  | 0.1840          |
+| 0.1658        | 2.2006  | 7920  | 0.1791          |
+| 0.1627        | 2.4007  | 8640  | 0.1727          |
+| 0.1574        | 2.6007  | 9360  | 0.1716          |
+| 0.1571        | 2.8008  | 10080 | 0.1727          |
+| 0.1549        | 3.0008  | 10800 | 0.1675          |
+| 0.1441        | 3.2009  | 11520 | 0.1620          |
+| 0.1447        | 3.4009  | 12240 | 0.1606          |
+| 0.1433        | 3.6010  | 12960 | 0.1668          |
+| 0.1409        | 3.8011  | 13680 | 0.1674          |
+| 0.1415        | 4.0011  | 14400 | 0.1585          |
+| 0.1282        | 4.2012  | 15120 | 0.1583          |
+| 0.1332        | 4.4012  | 15840 | 0.1567          |
+| 0.1296        | 4.6013  | 16560 | 0.1559          |
+| 0.1332        | 4.8013  | 17280 | 0.1477          |
+| 0.1268        | 5.0014  | 18000 | 0.1507          |
+| 0.1176        | 5.2014  | 18720 | 0.1490          |
+| 0.1166        | 5.4015  | 19440 | 0.1494          |
+| 0.1196        | 5.6016  | 20160 | 0.1442          |
+| 0.1193        | 5.8016  | 20880 | 0.1416          |
+| 0.1156        | 6.0017  | 21600 | 0.1390          |
+| 0.1067        | 6.2017  | 22320 | 0.1446          |
+| 0.1069        | 6.4018  | 23040 | 0.1418          |
+| 0.1085        | 6.6018  | 23760 | 0.1385          |
+| 0.1062        | 6.8019  | 24480 | 0.1312          |
+| 0.1074        | 7.0019  | 25200 | 0.1343          |
+| 0.0986        | 7.2020  | 25920 | 0.1362          |
+| 0.0965        | 7.4021  | 26640 | 0.1360          |
+| 0.0967        | 7.6021  | 27360 | 0.1335          |
+| 0.0955        | 7.8022  | 28080 | 0.1275          |
+| 0.0986        | 8.0022  | 28800 | 0.1328          |
+| 0.0876        | 8.2023  | 29520 | 0.1348          |
+| 0.0867        | 8.4023  | 30240 | 0.1314          |
+| 0.087         | 8.6024  | 30960 | 0.1290          |
+| 0.0863        | 8.8024  | 31680 | 0.1261          |
+| 0.087         | 9.0025  | 32400 | 0.1244          |
+| 0.0775        | 9.2026  | 33120 | 0.1293          |
+| 0.0768        | 9.4026  | 33840 | 0.1260          |
+| 0.0797        | 9.6027  | 34560 | 0.1277          |
+| 0.0779        | 9.8027  | 35280 | 0.1234          |
+| 0.0765        | 10.0028 | 36000 | 0.1230          |
+| 0.0692        | 10.2028 | 36720 | 0.1267          |
+| 0.0697        | 10.4029 | 37440 | 0.1259          |
+| 0.0691        | 10.6029 | 38160 | 0.1263          |
+| 0.0692        | 10.8030 | 38880 | 0.1229          |
+| 0.0694        | 11.0031 | 39600 | 0.1227          |
+| 0.0647        | 11.2031 | 40320 | 0.1255          |
+| 0.0632        | 11.4032 | 41040 | 0.1250          |
+| 0.0636        | 11.6032 | 41760 | 0.1260          |
+| 0.0626        | 11.8033 | 42480 | 0.1245          |
+
+
+### 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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