Model save

README.md

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+---
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+datasets:
+- generator
+library_name: peft
+license: apache-2.0
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: Mistral-7B-text-to-sql-flash-attention-2-FAISS-10epoch
+  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. -->
+
+# Mistral-7B-text-to-sql-flash-attention-2-FAISS-10epoch
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4891
+
+## 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: 3
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 24
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- lr_scheduler_warmup_steps: 15
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.1635        | 0.2005 | 10   | 0.7133          |
+| 0.6525        | 0.4010 | 20   | 0.5602          |
+| 0.5386        | 0.6015 | 30   | 0.5175          |
+| 0.5042        | 0.8020 | 40   | 0.4926          |
+| 0.487         | 1.0025 | 50   | 0.4839          |
+| 0.4099        | 1.2030 | 60   | 0.4804          |
+| 0.4078        | 1.4035 | 70   | 0.4748          |
+| 0.4125        | 1.6040 | 80   | 0.4692          |
+| 0.402         | 1.8045 | 90   | 0.4645          |
+| 0.398         | 2.0050 | 100  | 0.4635          |
+| 0.3066        | 2.2055 | 110  | 0.5003          |
+| 0.3049        | 2.4060 | 120  | 0.4879          |
+| 0.313         | 2.6065 | 130  | 0.4891          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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