End of training

README.md

@@ -18,24 +18,24 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3100
-- Precision: 0.5575
-- Recall: 0.5497
-- F1 Macro: 0.5438
-- Accuracy: 0.688
+- Loss: 0.4709
+- Precision: 0.5379
+- Recall: 0.4151
+- F1 Macro: 0.4036
+- Accuracy: 0.58
 - Classification Report:               precision    recall  f1-score   support
 
-        None       0.95      0.67      0.79        63
-     Minimal       0.57      0.81      0.67        52
-       Basic       0.73      0.68      0.71        95
-        Good       0.53      0.59      0.56        39
+        None       1.00      0.27      0.42        63
+     Minimal       0.41      0.71      0.52        52
+       Basic       0.64      0.86      0.73        95
+        Good       0.64      0.23      0.34        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.69       250
-   macro avg       0.56      0.55      0.54       250
-weighted avg       0.72      0.69      0.69       250
+    accuracy                           0.58       250
+   macro avg       0.54      0.42      0.40       250
+weighted avg       0.68      0.58      0.55       250
 
-- Mse: 0.3100
+- Mse: 0.4709
 
 ## Model description
 
@@ -67,258 +67,258 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1 Macro | Accuracy | Classification Report                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | Mse    |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------:|
-| No log        | 0      | 0    | 0.3048          | 0.5593    | 0.5507 | 0.5454   | 0.688    |               precision    recall  f1-score   support
+| No log        | 0      | 0    | 0.4752          | 0.5583    | 0.4159 | 0.3894   | 0.588    |               precision    recall  f1-score   support
 
-        None       0.96      0.68      0.80        63
-     Minimal       0.55      0.81      0.66        52
-       Basic       0.73      0.67      0.70        95
-        Good       0.56      0.59      0.57        39
+        None       1.00      0.27      0.42        63
+     Minimal       0.43      0.81      0.56        52
+       Basic       0.65      0.87      0.74        95
+        Good       0.71      0.13      0.22        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.69       250
-   macro avg       0.56      0.55      0.55       250
-weighted avg       0.72      0.69      0.69       250
- | 0.3048 |
-| 0.4757        | 0.2482 | 70   | 0.3100          | 0.5575    | 0.5497 | 0.5438   | 0.688    |               precision    recall  f1-score   support
+    accuracy                           0.59       250
+   macro avg       0.56      0.42      0.39       250
+weighted avg       0.70      0.59      0.54       250
+ | 0.4752 |
+| 0.5596        | 0.2482 | 70   | 0.4776          | 0.5583    | 0.4159 | 0.3894   | 0.588    |               precision    recall  f1-score   support
 
-        None       0.95      0.67      0.79        63
-     Minimal       0.57      0.81      0.67        52
-       Basic       0.73      0.68      0.71        95
-        Good       0.53      0.59      0.56        39
+        None       1.00      0.27      0.42        63
+     Minimal       0.43      0.81      0.56        52
+       Basic       0.65      0.87      0.74        95
+        Good       0.71      0.13      0.22        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.69       250
-   macro avg       0.56      0.55      0.54       250
-weighted avg       0.72      0.69      0.69       250
- | 0.3100 |
-| 0.509         | 0.4965 | 140  | 0.3359          | 0.5631    | 0.5404 | 0.5248   | 0.664    |               precision    recall  f1-score   support
+    accuracy                           0.59       250
+   macro avg       0.56      0.42      0.39       250
+weighted avg       0.70      0.59      0.54       250
+ | 0.4776 |
+| 0.642         | 0.4965 | 140  | 0.5114          | 0.5188    | 0.3953 | 0.3826   | 0.552    |               precision    recall  f1-score   support
 
-        None       1.00      0.49      0.66        63
-     Minimal       0.51      0.81      0.63        52
-       Basic       0.76      0.68      0.72        95
-        Good       0.54      0.72      0.62        39
+        None       1.00      0.19      0.32        63
+     Minimal       0.37      0.62      0.46        52
+       Basic       0.63      0.86      0.73        95
+        Good       0.60      0.31      0.41        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.66       250
-   macro avg       0.56      0.54      0.52       250
-weighted avg       0.73      0.66      0.67       250
- | 0.3359 |
-| 0.4873        | 0.7447 | 210  | 0.3170          | 0.5538    | 0.5400 | 0.5321   | 0.672    |               precision    recall  f1-score   support
+    accuracy                           0.55       250
+   macro avg       0.52      0.40      0.38       250
+weighted avg       0.66      0.55      0.52       250
+ | 0.5114 |
+| 0.6216        | 0.7447 | 210  | 0.4966          | 0.5272    | 0.3981 | 0.3839   | 0.56     |               precision    recall  f1-score   support
 
-        None       0.97      0.60      0.75        63
-     Minimal       0.55      0.81      0.65        52
-       Basic       0.73      0.67      0.70        95
-        Good       0.52      0.62      0.56        39
+        None       1.00      0.21      0.34        63
+     Minimal       0.38      0.65      0.48        52
+       Basic       0.63      0.87      0.73        95
+        Good       0.62      0.26      0.36        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.67       250
-   macro avg       0.55      0.54      0.53       250
-weighted avg       0.72      0.67      0.68       250
- | 0.3170 |
-| 0.4755        | 0.9929 | 280  | 0.3264          | 0.5577    | 0.5409 | 0.5296   | 0.668    |               precision    recall  f1-score   support
+    accuracy                           0.56       250
+   macro avg       0.53      0.40      0.38       250
+weighted avg       0.67      0.56      0.52       250
+ | 0.4966 |
+| 0.6004        | 0.9929 | 280  | 0.4998          | 0.5085    | 0.3960 | 0.3837   | 0.548    |               precision    recall  f1-score   support
 
-        None       0.97      0.54      0.69        63
-     Minimal       0.52      0.79      0.63        52
-       Basic       0.75      0.68      0.71        95
-        Good       0.55      0.69      0.61        39
+        None       1.00      0.21      0.34        63
+     Minimal       0.38      0.63      0.47        52
+       Basic       0.62      0.83      0.71        95
+        Good       0.55      0.31      0.39        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.67       250
-   macro avg       0.56      0.54      0.53       250
-weighted avg       0.72      0.67      0.67       250
- | 0.3264 |
-| 0.5092        | 1.2411 | 350  | 0.3452          | 0.5616    | 0.5374 | 0.5201   | 0.66     |               precision    recall  f1-score   support
+    accuracy                           0.55       250
+   macro avg       0.51      0.40      0.38       250
+weighted avg       0.65      0.55      0.52       250
+ | 0.4998 |
+| 0.6307        | 1.2411 | 350  | 0.5296          | 0.4997    | 0.3857 | 0.3718   | 0.528    |               precision    recall  f1-score   support
 
-        None       1.00      0.46      0.63        63
-     Minimal       0.51      0.79      0.62        52
-       Basic       0.76      0.69      0.73        95
-        Good       0.54      0.74      0.62        39
+        None       1.00      0.16      0.27        63
+     Minimal       0.34      0.54      0.41        52
+       Basic       0.61      0.82      0.70        95
+        Good       0.55      0.41      0.47        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.66       250
-   macro avg       0.56      0.54      0.52       250
-weighted avg       0.73      0.66      0.66       250
- | 0.3452 |
-| 0.4668        | 1.4894 | 420  | 0.3257          | 0.5577    | 0.5409 | 0.5296   | 0.668    |               precision    recall  f1-score   support
+    accuracy                           0.53       250
+   macro avg       0.50      0.39      0.37       250
+weighted avg       0.64      0.53      0.49       250
+ | 0.5296 |
+| 0.5859        | 1.4894 | 420  | 0.5058          | 0.5153    | 0.4044 | 0.3920   | 0.552    |               precision    recall  f1-score   support
 
-        None       0.97      0.54      0.69        63
-     Minimal       0.52      0.79      0.63        52
-       Basic       0.75      0.68      0.71        95
-        Good       0.55      0.69      0.61        39
+        None       1.00      0.19      0.32        63
+     Minimal       0.37      0.62      0.46        52
+       Basic       0.63      0.83      0.72        95
+        Good       0.58      0.38      0.46        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.67       250
-   macro avg       0.56      0.54      0.53       250
-weighted avg       0.72      0.67      0.67       250
- | 0.3257 |
-| 0.4722        | 1.7376 | 490  | 0.3101          | 0.5612    | 0.5548 | 0.5481   | 0.692    |               precision    recall  f1-score   support
+    accuracy                           0.55       250
+   macro avg       0.52      0.40      0.39       250
+weighted avg       0.66      0.55      0.52       250
+ | 0.5058 |
+| 0.564         | 1.7376 | 490  | 0.4709          | 0.5379    | 0.4151 | 0.4036   | 0.58     |               precision    recall  f1-score   support
 
-        None       0.95      0.67      0.79        63
-     Minimal       0.57      0.81      0.67        52
-       Basic       0.74      0.68      0.71        95
-        Good       0.55      0.62      0.58        39
+        None       1.00      0.27      0.42        63
+     Minimal       0.41      0.71      0.52        52
+       Basic       0.64      0.86      0.73        95
+        Good       0.64      0.23      0.34        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.69       250
-   macro avg       0.56      0.55      0.55       250
-weighted avg       0.72      0.69      0.70       250
- | 0.3101 |
-| 0.4893        | 1.9858 | 560  | 0.3318          | 0.5565    | 0.5409 | 0.5286   | 0.668    |               precision    recall  f1-score   support
+    accuracy                           0.58       250
+   macro avg       0.54      0.42      0.40       250
+weighted avg       0.68      0.58      0.55       250
+ | 0.4709 |
+| 0.6084        | 1.9858 | 560  | 0.4877          | 0.5181    | 0.4125 | 0.4031   | 0.56     |               precision    recall  f1-score   support
 
-        None       0.97      0.54      0.69        63
-     Minimal       0.53      0.79      0.63        52
-       Basic       0.76      0.68      0.72        95
-        Good       0.53      0.69      0.60        39
+        None       1.00      0.22      0.36        63
+     Minimal       0.38      0.63      0.47        52
+       Basic       0.63      0.82      0.72        95
+        Good       0.58      0.38      0.46        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.67       250
-   macro avg       0.56      0.54      0.53       250
-weighted avg       0.72      0.67      0.67       250
- | 0.3318 |
-| 0.4356        | 2.2340 | 630  | 0.3189          | 0.5611    | 0.5502 | 0.5402   | 0.68     |               precision    recall  f1-score   support
+    accuracy                           0.56       250
+   macro avg       0.52      0.41      0.40       250
+weighted avg       0.66      0.56      0.53       250
+ | 0.4877 |
+| 0.5792        | 2.2340 | 630  | 0.4811          | 0.5248    | 0.4265 | 0.4185   | 0.576    |               precision    recall  f1-score   support
 
-        None       0.97      0.60      0.75        63
-     Minimal       0.55      0.81      0.65        52
-       Basic       0.74      0.67      0.71        95
-        Good       0.54      0.67      0.60        39
+        None       1.00      0.25      0.41        63
+     Minimal       0.40      0.67      0.50        52
+       Basic       0.64      0.82      0.72        95
+        Good       0.58      0.38      0.46        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.68       250
-   macro avg       0.56      0.55      0.54       250
-weighted avg       0.73      0.68      0.69       250
- | 0.3189 |
-| 0.4772        | 2.4823 | 700  | 0.3294          | 0.5591    | 0.5430 | 0.5313   | 0.672    |               precision    recall  f1-score   support
+    accuracy                           0.58       250
+   macro avg       0.52      0.43      0.42       250
+weighted avg       0.67      0.58      0.55       250
+ | 0.4811 |
+| 0.584         | 2.4823 | 700  | 0.4827          | 0.5248    | 0.4265 | 0.4185   | 0.576    |               precision    recall  f1-score   support
 
-        None       0.97      0.54      0.69        63
-     Minimal       0.53      0.79      0.63        52
-       Basic       0.76      0.69      0.73        95
-        Good       0.54      0.69      0.61        39
+        None       1.00      0.25      0.41        63
+     Minimal       0.40      0.67      0.50        52
+       Basic       0.64      0.82      0.72        95
+        Good       0.58      0.38      0.46        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.67       250
-   macro avg       0.56      0.54      0.53       250
-weighted avg       0.73      0.67      0.68       250
- | 0.3294 |
-| 0.4249        | 2.7305 | 770  | 0.3243          | 0.5607    | 0.5473 | 0.5367   | 0.676    |               precision    recall  f1-score   support
+    accuracy                           0.58       250
+   macro avg       0.52      0.43      0.42       250
+weighted avg       0.67      0.58      0.55       250
+ | 0.4827 |
+| 0.5456        | 2.7305 | 770  | 0.4760          | 0.5248    | 0.4265 | 0.4185   | 0.576    |               precision    recall  f1-score   support
 
-        None       0.97      0.57      0.72        63
-     Minimal       0.53      0.79      0.64        52
-       Basic       0.75      0.68      0.71        95
-        Good       0.55      0.69      0.61        39
+        None       1.00      0.25      0.41        63
+     Minimal       0.40      0.67      0.50        52
+       Basic       0.64      0.82      0.72        95
+        Good       0.58      0.38      0.46        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.68       250
-   macro avg       0.56      0.55      0.54       250
-weighted avg       0.73      0.68      0.68       250
- | 0.3243 |
-| 0.5383        | 2.9787 | 840  | 0.3318          | 0.5575    | 0.5440 | 0.5297   | 0.668    |               precision    recall  f1-score   support
+    accuracy                           0.58       250
+   macro avg       0.52      0.43      0.42       250
+weighted avg       0.67      0.58      0.55       250
+ | 0.4760 |
+| 0.6446        | 2.9787 | 840  | 0.4901          | 0.5155    | 0.4106 | 0.3998   | 0.556    |               precision    recall  f1-score   support
 
-        None       0.97      0.54      0.69        63
-     Minimal       0.53      0.79      0.63        52
-       Basic       0.76      0.67      0.72        95
-        Good       0.53      0.72      0.61        39
+        None       1.00      0.21      0.34        63
+     Minimal       0.37      0.62      0.46        52
+       Basic       0.63      0.82      0.72        95
+        Good       0.57      0.41      0.48        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.67       250
-   macro avg       0.56      0.54      0.53       250
-weighted avg       0.73      0.67      0.67       250
- | 0.3318 |
-| 0.4388        | 3.2270 | 910  | 0.3394          | 0.5628    | 0.5417 | 0.5253   | 0.664    |               precision    recall  f1-score   support
+    accuracy                           0.56       250
+   macro avg       0.52      0.41      0.40       250
+weighted avg       0.66      0.56      0.53       250
+ | 0.4901 |
+| 0.5425        | 3.2270 | 910  | 0.4976          | 0.5108    | 0.4085 | 0.3973   | 0.552    |               precision    recall  f1-score   support
 
-        None       1.00      0.49      0.66        63
-     Minimal       0.51      0.79      0.62        52
-       Basic       0.76      0.68      0.72        95
-        Good       0.54      0.74      0.62        39
+        None       1.00      0.21      0.34        63
+     Minimal       0.38      0.62      0.47        52
+       Basic       0.63      0.81      0.71        95
+        Good       0.55      0.41      0.47        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.66       250
-   macro avg       0.56      0.54      0.53       250
-weighted avg       0.73      0.66      0.67       250
- | 0.3394 |
-| 0.4973        | 3.4752 | 980  | 0.3308          | 0.5565    | 0.5409 | 0.5286   | 0.668    |               precision    recall  f1-score   support
+    accuracy                           0.55       250
+   macro avg       0.51      0.41      0.40       250
+weighted avg       0.65      0.55      0.53       250
+ | 0.4976 |
+| 0.5965        | 3.4752 | 980  | 0.4935          | 0.5110    | 0.4085 | 0.3972   | 0.552    |               precision    recall  f1-score   support
 
-        None       0.97      0.54      0.69        63
-     Minimal       0.53      0.79      0.63        52
-       Basic       0.76      0.68      0.72        95
-        Good       0.53      0.69      0.60        39
+        None       1.00      0.21      0.34        63
+     Minimal       0.37      0.62      0.46        52
+       Basic       0.63      0.81      0.71        95
+        Good       0.55      0.41      0.47        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.67       250
-   macro avg       0.56      0.54      0.53       250
-weighted avg       0.72      0.67      0.67       250
- | 0.3308 |
-| 0.5125        | 3.7234 | 1050 | 0.3361          | 0.5606    | 0.5397 | 0.5253   | 0.664    |               precision    recall  f1-score   support
+    accuracy                           0.55       250
+   macro avg       0.51      0.41      0.40       250
+weighted avg       0.66      0.55      0.53       250
+ | 0.4935 |
+| 0.6324        | 3.7234 | 1050 | 0.4992          | 0.5083    | 0.4047 | 0.3944   | 0.548    |               precision    recall  f1-score   support
 
-        None       1.00      0.51      0.67        63
-     Minimal       0.52      0.79      0.63        52
-       Basic       0.76      0.68      0.72        95
-        Good       0.53      0.72      0.61        39
+        None       1.00      0.21      0.34        63
+     Minimal       0.37      0.60      0.46        52
+       Basic       0.62      0.81      0.70        95
+        Good       0.55      0.41      0.47        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.66       250
-   macro avg       0.56      0.54      0.53       250
-weighted avg       0.73      0.66      0.67       250
- | 0.3361 |
-| 0.4262        | 3.9716 | 1120 | 0.3230          | 0.5637    | 0.5511 | 0.5396   | 0.68     |               precision    recall  f1-score   support
+    accuracy                           0.55       250
+   macro avg       0.51      0.40      0.39       250
+weighted avg       0.65      0.55      0.52       250
+ | 0.4992 |
+| 0.5369        | 3.9716 | 1120 | 0.4784          | 0.5265    | 0.4278 | 0.4210   | 0.576    |               precision    recall  f1-score   support
 
-        None       0.97      0.57      0.72        63
-     Minimal       0.54      0.81      0.65        52
-       Basic       0.76      0.68      0.72        95
-        Good       0.55      0.69      0.61        39
+        None       1.00      0.25      0.41        63
+     Minimal       0.40      0.65      0.49        52
+       Basic       0.64      0.82      0.72        95
+        Good       0.59      0.41      0.48        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.68       250
-   macro avg       0.56      0.55      0.54       250
-weighted avg       0.73      0.68      0.68       250
- | 0.3230 |
-| 0.4915        | 4.2199 | 1190 | 0.3240          | 0.5607    | 0.5473 | 0.5367   | 0.676    |               precision    recall  f1-score   support
+    accuracy                           0.58       250
+   macro avg       0.53      0.43      0.42       250
+weighted avg       0.67      0.58      0.55       250
+ | 0.4784 |
+| 0.6037        | 4.2199 | 1190 | 0.4771          | 0.5265    | 0.4278 | 0.4210   | 0.576    |               precision    recall  f1-score   support
 
-        None       0.97      0.57      0.72        63
-     Minimal       0.53      0.79      0.64        52
-       Basic       0.75      0.68      0.71        95
-        Good       0.55      0.69      0.61        39
+        None       1.00      0.25      0.41        63
+     Minimal       0.40      0.65      0.49        52
+       Basic       0.64      0.82      0.72        95
+        Good       0.59      0.41      0.48        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.68       250
-   macro avg       0.56      0.55      0.54       250
-weighted avg       0.73      0.68      0.68       250
- | 0.3240 |
-| 0.4515        | 4.4681 | 1260 | 0.3260          | 0.5592    | 0.5441 | 0.5332   | 0.672    |               precision    recall  f1-score   support
+    accuracy                           0.58       250
+   macro avg       0.53      0.43      0.42       250
+weighted avg       0.67      0.58      0.55       250
+ | 0.4771 |
+| 0.529         | 4.4681 | 1260 | 0.4785          | 0.5240    | 0.4240 | 0.4181   | 0.572    |               precision    recall  f1-score   support
 
-        None       0.97      0.56      0.71        63
-     Minimal       0.53      0.79      0.63        52
-       Basic       0.75      0.68      0.71        95
-        Good       0.55      0.69      0.61        39
+        None       1.00      0.25      0.41        63
+     Minimal       0.39      0.63      0.48        52
+       Basic       0.64      0.82      0.72        95
+        Good       0.59      0.41      0.48        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.67       250
-   macro avg       0.56      0.54      0.53       250
-weighted avg       0.72      0.67      0.68       250
- | 0.3260 |
-| 0.4823        | 4.7163 | 1330 | 0.3248          | 0.5607    | 0.5473 | 0.5367   | 0.676    |               precision    recall  f1-score   support
+    accuracy                           0.57       250
+   macro avg       0.52      0.42      0.42       250
+weighted avg       0.67      0.57      0.55       250
+ | 0.4785 |
+| 0.5761        | 4.7163 | 1330 | 0.4768          | 0.5265    | 0.4278 | 0.4210   | 0.576    |               precision    recall  f1-score   support
 
-        None       0.97      0.57      0.72        63
-     Minimal       0.53      0.79      0.64        52
-       Basic       0.75      0.68      0.71        95
-        Good       0.55      0.69      0.61        39
+        None       1.00      0.25      0.41        63
+     Minimal       0.40      0.65      0.49        52
+       Basic       0.64      0.82      0.72        95
+        Good       0.59      0.41      0.48        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.68       250
-   macro avg       0.56      0.55      0.54       250
-weighted avg       0.73      0.68      0.68       250
- | 0.3248 |
-| 0.4394        | 4.9645 | 1400 | 0.3258          | 0.5607    | 0.5473 | 0.5367   | 0.676    |               precision    recall  f1-score   support
+    accuracy                           0.58       250
+   macro avg       0.53      0.43      0.42       250
+weighted avg       0.67      0.58      0.55       250
+ | 0.4768 |
+| 0.554         | 4.9645 | 1400 | 0.4772          | 0.5265    | 0.4278 | 0.4210   | 0.576    |               precision    recall  f1-score   support
 
-        None       0.97      0.57      0.72        63
-     Minimal       0.53      0.79      0.64        52
-       Basic       0.75      0.68      0.71        95
-        Good       0.55      0.69      0.61        39
+        None       1.00      0.25      0.41        63
+     Minimal       0.40      0.65      0.49        52
+       Basic       0.64      0.82      0.72        95
+        Good       0.59      0.41      0.48        39
    Excellent       0.00      0.00      0.00         1
 
-    accuracy                           0.68       250
-   macro avg       0.56      0.55      0.54       250
-weighted avg       0.73      0.68      0.68       250
- | 0.3258 |
+    accuracy                           0.58       250
+   macro avg       0.53      0.43      0.42       250
+weighted avg       0.67      0.58      0.55       250
+ | 0.4772 |
 
 
 ### Framework versions

model.safetensors

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+oid sha256:f84e984a311d3c76246b378bc5ddef503bfd9c60bc8883a49725eefb9bbe690b
 size 1112201932

training_args.bin

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 version https://git-lfs.github.com/spec/v1
-oid sha256:672b85d0f54283fae71415e3aebe2660a570cdd1ff79639db9fb97433bd953ca
+oid sha256:9258eb692c217d27f1baf9059ccf8621061e5754d76e9900d6f48a9892dfc97e
 size 5777