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_ind
 
-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: 11.2143
-- Accuracy: -5278.2032
+- Loss: 9.7048
+- Accuracy: 21.9681
 
 ## 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    | 11.2884         | 13619.4675  |
-| No log        | 2.0   | 2    | 12.4142         | -34586.9665 |
-| No log        | 3.0   | 3    | 12.0917         | -36170.8404 |
-| No log        | 4.0   | 4    | 11.3609         | -34348.1929 |
-| No log        | 5.0   | 5    | 11.2143         | -5278.2032  |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 1    | 9.2047          | -11.7267 |
+| No log        | 2.0   | 2    | 9.6156          | -0.3807  |
+| No log        | 3.0   | 3    | 10.0327         | 110.6126 |
+| No log        | 4.0   | 4    | 9.7114          | 22.7145  |
+| No log        | 5.0   | 5    | 9.7048          | 21.9681  |
 
 
 ### 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 sha256:529e4f9b0f8589e702d5601d97977ba32ed8c1a63c8b6ca72ade90448c64f0a8
+size 50345144

adapter_model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:d0d2c856492db250062cc19fd461b5c6d02b0e1f7ed41aff0f3c32a2489e031e
+oid sha256:d7990ed36db5ad5e8a163a647eebac44fc21d16a14aeec05e8312cae36e477c3
 size 50345144