Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: m-a-p/OpenCodeInterpreter-DS-6.7B
+datasets:
+- generator
+model-index:
+- name: OpenCodeInterpreter-DS-6.7B-SQL2
+  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. -->
+
+# OpenCodeInterpreter-DS-6.7B-SQL2
+
+This model is a fine-tuned version of [m-a-p/OpenCodeInterpreter-DS-6.7B](https://huggingface.co/m-a-p/OpenCodeInterpreter-DS-6.7B) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3180
+
+## 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: 8
+- eval_batch_size: 8
+- 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: 1600
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.3643        | 1.44  | 200  | 0.3582          |
+| 0.337         | 2.88  | 400  | 0.3357          |
+| 0.3197        | 4.32  | 600  | 0.3271          |
+| 0.3126        | 5.76  | 800  | 0.3222          |
+| 0.3034        | 7.19  | 1000 | 0.3198          |
+| 0.2998        | 8.63  | 1200 | 0.3185          |
+| 0.297         | 10.07 | 1400 | 0.3180          |
+| 0.2964        | 11.51 | 1600 | 0.3180          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2