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_random
 
-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: 8.4980
-- Accuracy: -5564.7596
+- Loss: 7.9397
+- Accuracy: -15.2082
 
 ## Model description
 
@@ -51,12 +51,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy    |
-|:-------------:|:-----:|:----:|:---------------:|:-----------:|
-| No log        | 0.8   | 2    | 10.1306         | 48758.8852  |
-| No log        | 2.0   | 5    | 9.1696          | 68666.5148  |
-| No log        | 2.8   | 7    | 8.8054          | -22131.0614 |
-| 9.5148        | 4.0   | 10   | 8.4980          | -5564.7596  |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 1    | 8.9422          | -10.4026 |
+| No log        | 2.0   | 2    | 8.2900          | -14.5101 |
+| No log        | 3.0   | 3    | 8.5429          | -15.0651 |
+| No log        | 4.0   | 4    | 8.1046          | -15.2082 |
+| No log        | 5.0   | 5    | 7.9397          | -15.2082 |
 
 
 ### 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:e545dd667c5308815f17560244bd170a00a2f4f7bc4fbcca3f2f86d0ca98e28a
+size 50345144

adapter_model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:5b90b20a353882894bf272ab8a523d4d08a3d53122164b6ae66df896ba754719
+oid sha256:b4b8d95a4f65b80bdb550d7bc5f58683636e3d1f57dbc13e4b70c00966a7c28a
 size 50345144