lora_fine_tuned_copa_sloberta

README.md

@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6924
-- Accuracy: 0.61
-- F1: 0.6110
+- Loss: 0.6931
+- Accuracy: 0.51
+- F1: 0.5110
 
 ## Model description
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.003
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6918        | 1.0   | 50   | 0.6925          | 0.59     | 0.5909 |
-| 0.6913        | 2.0   | 100  | 0.6929          | 0.57     | 0.5709 |
-| 0.6927        | 3.0   | 150  | 0.6925          | 0.56     | 0.5607 |
-| 0.6931        | 4.0   | 200  | 0.6926          | 0.56     | 0.5607 |
-| 0.6932        | 5.0   | 250  | 0.6925          | 0.59     | 0.5910 |
-| 0.6942        | 6.0   | 300  | 0.6924          | 0.6      | 0.6010 |
-| 0.6958        | 7.0   | 350  | 0.6924          | 0.61     | 0.6110 |
-| 0.6941        | 8.0   | 400  | 0.6924          | 0.61     | 0.6110 |
+| 0.6977        | 1.0   | 50   | 0.6931          | 0.53     | 0.5242 |
+| 0.6925        | 2.0   | 100  | 0.6931          | 0.45     | 0.4514 |
+| 0.695         | 3.0   | 150  | 0.6931          | 0.61     | 0.6085 |
+| 0.6982        | 4.0   | 200  | 0.6931          | 0.44     | 0.4200 |
+| 0.699         | 5.0   | 250  | 0.6931          | 0.63     | 0.6285 |
+| 0.6962        | 6.0   | 300  | 0.6931          | 0.51     | 0.5062 |
+| 0.6918        | 7.0   | 350  | 0.6931          | 0.39     | 0.3893 |
+| 0.6983        | 8.0   | 400  | 0.6931          | 0.51     | 0.5110 |
 
 
 ### Framework versions

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": null,
+  "base_model_name_or_path": "EMBEDDIA/sloberta",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
@@ -23,7 +23,6 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "dense",
     "query",
     "value"
   ],

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4f239bbf6bba737a991b851debfbe7227838eea49734029de50bfa6897445c4
-size 9558228
+oid sha256:034e1b9e0934b1d862e2f1e233c796a02ac4b8819d6c5c95599dacae17ed43ac
+size 2369468

runs/May21_19-36-45_DESKTOP-22QTFDR/events.out.tfevents.1716313005.DESKTOP-22QTFDR.17744.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c177bd09409776c194d1b995a2a48a64942fcc6bb272019d67e0f30328ce5283
+size 9733

runs/May21_19-36-45_DESKTOP-22QTFDR/events.out.tfevents.1716313026.DESKTOP-22QTFDR.17744.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc249270ac6cbf7e777e9b504d1687e705e3a468cb5d83a3289d30abed6415cb
+size 457

tokenizer.json

@@ -1,14 +1,7 @@
 {
   "version": "1.0",
   "truncation": null,
-  "padding": {
-    "strategy": "BatchLongest",
-    "direction": "Right",
-    "pad_to_multiple_of": null,
-    "pad_id": 1,
-    "pad_type_id": 0,
-    "pad_token": "<pad>"
-  },
+  "padding": null,
   "added_tokens": [
     {
       "id": 0,

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8f9703753c4f500dd45705356e6ce16eef4b05bb562613ae46819cfdaffe431a
+oid sha256:1ae7ef4b772cb7ad0f753754d0148bbc787a0ac0646ad8c8b5a81a8ca042fd7a
 size 5048