End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Salesforce/codet5-base
+tags:
+- generated_from_trainer
+model-index:
+- name: results_lora
+  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. -->
+
+# results_lora
+
+This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5548
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use 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: 40
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.2238        | 1.0   | 941   | 0.4982          |
+| 0.5068        | 2.0   | 1882  | 0.4804          |
+| 0.4874        | 3.0   | 2823  | 0.4810          |
+| 0.4821        | 4.0   | 3764  | 0.4825          |
+| 0.4811        | 5.0   | 4705  | 0.4766          |
+| 0.4801        | 6.0   | 5646  | 0.4801          |
+| 0.4743        | 7.0   | 6587  | 0.4825          |
+| 0.4732        | 8.0   | 7528  | 0.4769          |
+| 0.4717        | 9.0   | 8469  | 0.4731          |
+| 0.4675        | 10.0  | 9410  | 0.4779          |
+| 0.4667        | 11.0  | 10351 | 0.4795          |
+| 0.4637        | 12.0  | 11292 | 0.4822          |
+| 0.4575        | 13.0  | 12233 | 0.4817          |
+| 0.4505        | 14.0  | 13174 | 0.4884          |
+| 0.4452        | 15.0  | 14115 | 0.4935          |
+| 0.4413        | 16.0  | 15056 | 0.4993          |
+| 0.4386        | 17.0  | 15997 | 0.4943          |
+| 0.4398        | 18.0  | 16938 | 0.5011          |
+| 0.4263        | 19.0  | 17879 | 0.5114          |
+| 0.4293        | 20.0  | 18820 | 0.4993          |
+| 0.4255        | 21.0  | 19761 | 0.5084          |
+| 0.4245        | 22.0  | 20702 | 0.5193          |
+| 0.4153        | 23.0  | 21643 | 0.5032          |
+| 0.4164        | 24.0  | 22584 | 0.5182          |
+| 0.4012        | 25.0  | 23525 | 0.5239          |
+| 0.3999        | 26.0  | 24466 | 0.5245          |
+| 0.3969        | 27.0  | 25407 | 0.5293          |
+| 0.3988        | 28.0  | 26348 | 0.5221          |
+| 0.4033        | 29.0  | 27289 | 0.5394          |
+| 0.3918        | 30.0  | 28230 | 0.5299          |
+| 0.3841        | 31.0  | 29171 | 0.5396          |
+| 0.3805        | 32.0  | 30112 | 0.5426          |
+| 0.3733        | 33.0  | 31053 | 0.5435          |
+| 0.384         | 34.0  | 31994 | 0.5532          |
+| 0.3762        | 35.0  | 32935 | 0.5476          |
+| 0.371         | 36.0  | 33876 | 0.5485          |
+| 0.3629        | 37.0  | 34817 | 0.5529          |
+| 0.3675        | 38.0  | 35758 | 0.5512          |
+| 0.3671        | 39.0  | 36699 | 0.5543          |
+| 0.3596        | 40.0  | 37640 | 0.5548          |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.3.1
+- Tokenizers 0.21.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Salesforce/codet5-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": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v",
+    "q"
+  ],
+  "task_type": "SEQ_2_SEQ_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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training_args.bin

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