End of training

README.md

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+---
+license: llama2
+base_model: codellama/CodeLlama-7b-Instruct-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: codellamafinetune1
+  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. -->
+
+# codellamafinetune1
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9399
+
+## 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: 0.001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.688         | 1.0   | 1    | 2.7732          |
+| 2.2839        | 2.0   | 2    | 2.2213          |
+| 1.8066        | 3.0   | 3    | 1.9344          |
+| 1.495         | 4.0   | 4    | 1.5703          |
+| 1.1257        | 5.0   | 5    | 1.3163          |
+| 0.8016        | 6.0   | 6    | 1.0887          |
+| 0.5227        | 7.0   | 7    | 0.9648          |
+| 0.3552        | 8.0   | 8    | 0.9399          |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.1
+- Datasets 2.16.1
+- Tokenizers 0.13.3

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