End of training

README.md

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+---
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: microsoft/codebert-base
+model-index:
+- name: codebertbasePEFTLORA-finetuned-the-stack-bash
+  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. -->
+
+# codebertbasePEFTLORA-finetuned-the-stack-bash
+
+This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.6253
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 10000
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 8.0071        | 0.05  | 500   | 7.3041          |
+| 6.7238        | 0.1   | 1000  | 6.7353          |
+| 6.0485        | 0.15  | 1500  | 6.4389          |
+| 7.5991        | 0.2   | 2000  | 6.1635          |
+| 7.0524        | 0.25  | 2500  | 6.0566          |
+| 6.4077        | 0.3   | 3000  | 5.9759          |
+| 6.2579        | 0.35  | 3500  | 5.9255          |
+| 6.2236        | 0.4   | 4000  | 5.9026          |
+| 6.6512        | 0.45  | 4500  | 5.7760          |
+| 6.0908        | 0.5   | 5000  | 5.7303          |
+| 6.3444        | 0.55  | 5500  | 5.6846          |
+| 7.097         | 0.6   | 6000  | 5.7699          |
+| 5.9796        | 0.65  | 6500  | 5.6752          |
+| 5.2663        | 0.7   | 7000  | 5.7492          |
+| 6.065         | 0.75  | 7500  | 5.6354          |
+| 6.5333        | 0.8   | 8000  | 5.6294          |
+| 6.1995        | 0.85  | 8500  | 5.6278          |
+| 6.0109        | 0.9   | 9000  | 5.6193          |
+| 5.8204        | 0.95  | 9500  | 5.6142          |
+| 6.7558        | 1.0   | 10000 | 5.6253          |
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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