End of training

README.md

@@ -1,9 +1,8 @@
 ---
-license: mit
 library_name: peft
 tags:
 - generated_from_trainer
-base_model: facebook/bart-large-mnli
+base_model: cocorooxinnn/eu_based_model
 metrics:
 - f1
 - precision
@@ -19,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # eu_adapter01
 
-This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on an unknown dataset.
+This model is a fine-tuned version of [cocorooxinnn/eu_based_model](https://huggingface.co/cocorooxinnn/eu_based_model) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6135
-- F1: 0.7692
-- Precision: 0.8197
-- Recall: 0.7246
-- Accuracy: 0.8
+- Loss: 0.6118
+- F1: 0.7786
+- Precision: 0.8226
+- Recall: 0.7391
+- Accuracy: 0.8067
 
 ## Model description
 
@@ -57,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Precision | Recall | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:|
-| 0.6099        | 0.625 | 10   | 0.6235          | 0.7761 | 0.8       | 0.7536 | 0.8      |
-| 0.58          | 1.25  | 20   | 0.6090          | 0.7971 | 0.7971    | 0.7971 | 0.8133   |
-| 0.5859        | 1.875 | 30   | 0.6135          | 0.7692 | 0.8197    | 0.7246 | 0.8      |
+| 0.6221        | 0.625 | 10   | 0.6185          | 0.7972 | 0.7703    | 0.8261 | 0.8067   |
+| 0.5926        | 1.25  | 20   | 0.6078          | 0.8194 | 0.7867    | 0.8551 | 0.8267   |
+| 0.5867        | 1.875 | 30   | 0.6118          | 0.7786 | 0.8226    | 0.7391 | 0.8067   |
 
 
 ### Framework versions

adapter_config.json

@@ -25,8 +25,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
     "k_proj",
+    "q_proj",
     "v_proj"
   ],
   "task_type": null,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f4118e544b1a2bee4f547f27e6649202529b0fbd84769c76dab49429550bafc1
+oid sha256:ee987cc504e24b9e989f8dbf7250a97d4665d16e90628406878988f496ef0071
 size 29715788