.../acceptance_evaluator_agent

README.md

@@ -5,7 +5,7 @@ tags:
 - trl
 - sft
 - generated_from_trainer
-base_model: Hugofernandez/Mistral-7B-v0.1-colab-sharded
+base_model: cemuluoglakci/Mistral-7B-v0.1_optimized
 model-index:
 - name: results
   results: []
@@ -16,7 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # results
 
-This model is a fine-tuned version of [Hugofernandez/Mistral-7B-v0.1-colab-sharded](https://huggingface.co/Hugofernandez/Mistral-7B-v0.1-colab-sharded) on an unknown dataset.
+This model is a fine-tuned version of [cemuluoglakci/Mistral-7B-v0.1_optimized](https://huggingface.co/cemuluoglakci/Mistral-7B-v0.1_optimized) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5001
 
 ## Model description
 
@@ -44,6 +46,13 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 100
 - num_epochs: 1
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5221        | 1.0   | 75   | 0.5001          |
+
+
 ### Framework versions
 
 - PEFT 0.10.0

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "Hugofernandez/Mistral-7B-v0.1-colab-sharded",
+  "base_model_name_or_path": "cemuluoglakci/Mistral-7B-v0.1_optimized",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
@@ -21,13 +21,13 @@
   "revision": null,
   "target_modules": [
     "q_proj",
-    "up_proj",
-    "down_proj",
-    "lm_head",
-    "gate_proj",
+    "v_proj",
     "o_proj",
+    "gate_proj",
     "k_proj",
-    "v_proj"
+    "down_proj",
+    "lm_head",
+    "up_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

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runs/Apr03_21-08-35_d77cb52e792b/events.out.tfevents.1712178606.d77cb52e792b.228.0

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training_args.bin

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