Model save

README.md

@@ -1,9 +1,9 @@
 ---
-license: apache-2.0
+license: mit
 library_name: peft
 tags:
 - generated_from_trainer
-base_model: google-bert/bert-base-uncased
+base_model: EleutherAI/gpt-neo-1.3B
 metrics:
 - accuracy
 model-index:
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # peft_ft_fl_mod_dep
 
-This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 9.3394
-- Accuracy: 19962.7013
+- Loss: 10.5008
+- Accuracy: 39.9203
 
 ## Model description
 
@@ -51,13 +51,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy   |
-|:-------------:|:-----:|:----:|:---------------:|:----------:|
-| No log        | 1.0   | 1    | 10.5249         | 37316.2091 |
-| No log        | 2.0   | 2    | 9.8888          | 59610.2323 |
-| No log        | 3.0   | 3    | 9.6196          | 17578.0151 |
-| No log        | 4.0   | 4    | 9.4279          | 12815.1561 |
-| No log        | 5.0   | 5    | 9.3394          | 19962.7013 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 1    | 9.2683          | -11.8768 |
+| No log        | 2.0   | 2    | 10.0504         | -8.8355  |
+| No log        | 3.0   | 3    | 10.6331         | 69.9561  |
+| No log        | 4.0   | 4    | 10.4547         | 35.5453  |
+| No log        | 5.0   | 5    | 10.5008         | 39.9203  |
 
 
 ### Framework versions

adapter_1/adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "google-bert/bert-base-uncased",
+  "base_model_name_or_path": "EleutherAI/gpt-neo-1.3B",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
@@ -20,8 +20,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "value",
-    "query"
+    "q_proj",
+    "v_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_1/adapter_model.safetensors

@@ -1,3 +1,3 @@
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-size 9443984
+oid sha256:806e273130a5757f428c0d4119a5e170c111079de5f408b83b8025210a8fbc30
+size 50345144

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7b8950e246f323fe38bfaf03ec770a442717bbae60e8ebc4ac7fb25c796302c9
+oid sha256:06bd198371facb4dcb6def10ff23476a69fc92ce3384677d5b909e58dd2d8fc6
 size 50345144