End of training

README.md

@@ -1,8 +1,9 @@
 ---
-license: other
-base_model: microsoft/phi-1_5
+license: mit
+library_name: peft
 tags:
 - generated_from_trainer
+base_model: microsoft/phi-1_5
 model-index:
 - name: phi-1_5-finetuned
   results: []
@@ -13,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # phi-1_5-finetuned
 
-This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on [AdonisVainglory/Cocktailer](https://huggingface.co/AdonisVainglory/Cocktailer) dataset.
+This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
 
 ## Model description
 
@@ -42,13 +43,10 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: cosine
 - num_epochs: 1
 
-### Training results
-
-
-
 ### Framework versions
 
-- Transformers 4.33.3
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.5
-- Tokenizers 0.13.3
+- PEFT 0.9.0
+- Transformers 4.37.1
+- Pytorch 2.2.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

adapter_config.json

@@ -1,4 +1,5 @@
 {
+  "alpha_pattern": {},
   "auto_mapping": null,
   "base_model_name_or_path": "microsoft/phi-1_5",
   "bias": "none",
@@ -7,17 +8,23 @@
   "init_lora_weights": true,
   "layers_pattern": null,
   "layers_to_transform": null,
+  "loftq_config": {},
   "lora_alpha": 16,
   "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
   "modules_to_save": null,
   "peft_type": "LORA",
   "r": 16,
+  "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "fc1",
-    "fc2",
     "Wqkv",
-    "out_proj"
+    "fc2",
+    "out_proj",
+    "fc1"
   ],
-  "task_type": "CAUSAL_LM"
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
 }

adapter_model.safetensors

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+size 31469312

runs/Mar05_16-31-53_LAPTOP-FBJ6NMBP/events.out.tfevents.1709636513.LAPTOP-FBJ6NMBP.15160.0

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+size 7764

training_args.bin

@@ -1,3 +1,3 @@
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-size 4027
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