AchrafTasfaout/Mistral-7B-SQL

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runs/Jun29_09-49-45_7cc9cf87df0d/events.out.tfevents.1719654604.7cc9cf87df0d.1126.0 +3 -0
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 ---
-library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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 ---
+base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
+library_name: peft
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: mistral-7b-sql
+  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-sql
+This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0316
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.3669        | 0.9231 | 3    | 2.0030          |
+| 1.9273        | 1.8462 | 6    | 1.6669          |
+| 1.5048        | 2.7692 | 9    | 1.4241          |
+| 0.915         | 4.0    | 13   | 1.2316          |
+| 0.9884        | 4.9231 | 16   | 1.1354          |
+| 0.8136        | 5.8462 | 19   | 1.0745          |
+| 0.684         | 6.7692 | 22   | 1.0422          |
+| 0.4341        | 8.0    | 26   | 1.0330          |
+| 0.526         | 8.9231 | 29   | 1.0319          |
+| 0.3763        | 9.2308 | 30   | 1.0316          |
+### Framework versions
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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