End of training

README.md

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+---
+license: llama2
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: meta-llama/CodeLlama-7b-Instruct-hf
+model-index:
+- name: codellama-instruct-mojo
+  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. -->
+
+# codellama-instruct-mojo
+
+This model is a fine-tuned version of [meta-llama/CodeLlama-7b-Instruct-hf](https://huggingface.co/meta-llama/CodeLlama-7b-Instruct-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4163
+
+## 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: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7629        | 1.0   | 50   | 1.2447          |
+| 1.1745        | 2.0   | 100  | 1.0526          |
+| 0.8293        | 3.0   | 150  | 1.0006          |
+| 0.6443        | 4.0   | 200  | 1.0057          |
+| 0.5093        | 5.0   | 250  | 1.0275          |
+| 0.4048        | 6.0   | 300  | 1.0305          |
+| 0.3276        | 7.0   | 350  | 1.1752          |
+| 0.2657        | 8.0   | 400  | 1.2200          |
+| 0.2288        | 9.0   | 450  | 1.3527          |
+| 0.1876        | 10.0  | 500  | 1.4163          |
+
+
+### Framework versions
+
+- PEFT 0.11.2.dev0
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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