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Model: dty1aaa/codellama-7b-instruct-hf-sft
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+base_model: codellama/CodeLlama-7b-Instruct-hf
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: final_sft_CodeLlama-7b-Instruct-hf
+  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. -->
+
+# final_sft_CodeLlama-7b-Instruct-hf
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the efficoder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3331
+
+## Model description
+
+train on EFFIINSTRUCT_python 
+
+## Intended uses & limitations
+
+generate effective code
+
+## Training and evaluation data
+
+train on EFFIINSTRUCT_python 
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 8
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 4.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.2475        | 0.3401 | 50   | 0.2433          |
+| 0.2425        | 0.6803 | 100  | 0.2314          |
+| 0.2147        | 1.0204 | 150  | 0.2318          |
+| 0.1702        | 1.3605 | 200  | 0.2378          |
+| 0.1758        | 1.7007 | 250  | 0.2396          |
+| 0.1438        | 2.0408 | 300  | 0.2643          |
+| 0.0989        | 2.3810 | 350  | 0.2823          |
+| 0.0991        | 2.7211 | 400  | 0.2799          |
+| 0.065         | 3.0612 | 450  | 0.3123          |
+| 0.0601        | 3.4014 | 500  | 0.3348          |
+| 0.0645        | 3.7415 | 550  | 0.3324          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.2.2+cu121
+- Datasets 4.8.4
+- Tokenizers 0.19.1