End of training

README.md

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+---
+license: bigcode-openrail-m
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: bigcode/starcoderbase-1b
+model-index:
+- name: peft-starcoder-lora-a100-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. -->
+
+# peft-starcoder-lora-a100-v2
+
+This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9551
+
+## 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: 0.0005
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 30
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.966         | 0.2   | 100  | 0.9183          |
+| 0.9915        | 0.4   | 200  | 0.9467          |
+| 0.6571        | 0.6   | 300  | 0.9518          |
+| 0.901         | 0.8   | 400  | 0.9603          |
+| 0.9649        | 1.0   | 500  | 0.9551          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1