Model save

README.md

@@ -0,0 +1,56 @@
+---
+base_model: google/gemma-2-2b-it
+library_name: peft
+license: gemma
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: NeurIA_SQL_gemma-2-2b
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/neuria99/Gemma2%202b%20it%20text2SQL%20Neuria/runs/wnyqis1a)
+# NeurIA_SQL_gemma-2-2b
+
+This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on an unknown dataset.
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 6
+- total_train_batch_size: 24
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.44.1
+- Pytorch 2.4.1
+- Datasets 2.19.1
+- Tokenizers 0.19.1