Training in progress, epoch 1

README.md

@@ -4,8 +4,8 @@ library_name: transformers
 model_name: gemma-text-to-sql
 tags:
 - generated_from_trainer
-- sft
 - trl
+- sft
 licence: license
 ---
 
@@ -27,7 +27,7 @@ print(output["generated_text"])
 
 ## Training procedure
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/alternis-universit-de-gen-ve/datamixture-gemma/runs/ipghx4kn) 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/alternis-universit-de-gen-ve/gemma-text-to-sql/runs/qgksc4x6) 
 
 
 This model was trained with SFT.
@@ -35,7 +35,7 @@ This model was trained with SFT.
 ### Framework versions
 
 - TRL: 0.19.1
-- Transformers: 4.53.3
+- Transformers: 4.54.0
 - Pytorch: 2.7.1
 - Datasets: 4.0.0
 - Tokenizers: 0.21.2

adapter_config.json

@@ -18,26 +18,23 @@
   "lora_dropout": 0.05,
   "megatron_config": null,
   "megatron_core": "megatron.core",
-  "modules_to_save": [
-    "lm_head",
-    "embed_tokens"
-  ],
+  "modules_to_save": [],
   "peft_type": "LORA",
   "qalora_group_size": 16,
   "r": 16,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
+    "fc2",
     "up_proj",
+    "down_proj",
     "fc1",
+    "out_proj",
     "k_proj",
     "gate_proj",
-    "q_proj",
-    "fc2",
-    "out_proj",
-    "down_proj",
-    "o_proj"
+    "v_proj",
+    "o_proj",
+    "q_proj"
   ],
   "task_type": "CAUSAL_LM",
   "trainable_token_indices": null,

adapter_model.safetensors

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training_args.bin

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