End of training

README.md

@@ -26,16 +26,16 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9449811951859677
+      value: 0.9489953582155384
     - name: Accuracy
       type: accuracy
-      value: 0.944
+      value: 0.949
     - name: Precision
       type: precision
-      value: 0.945151502415633
+      value: 0.9490837535014006
     - name: Recall
       type: recall
-      value: 0.945
+      value: 0.949
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -45,12 +45,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mateiaassAI/teacher_sst2](https://huggingface.co/mateiaassAI/teacher_sst2) on the laroseda dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1105
-- F1: 0.9450
-- Roc Auc: None
-- Accuracy: 0.944
-- Precision: 0.9452
-- Recall: 0.945
+- Loss: 0.1906
+- F1: 0.9490
+- Roc Auc: 0.9490
+- Accuracy: 0.949
+- Precision: 0.9491
+- Recall: 0.949
 
 ## Model description
 
@@ -75,13 +75,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:---------:|:------:|
-| 0.1332        | 1.0   | 688  | 0.1105          | 0.9450 | None    | 0.944    | 0.9452    | 0.945  |
+| 0.1799        | 1.0   | 688  | 0.1426          | 0.9435 | 0.9434  | 0.943    | 0.9441    | 0.943  |
+| 0.1071        | 2.0   | 1376 | 0.1906          | 0.9490 | 0.9490  | 0.949    | 0.9491    | 0.949  |
 
 
 ### Framework versions

config.json

@@ -10,15 +10,13 @@
   "hidden_size": 768,
   "id2label": {
     "0": "Negative",
-    "1": "Neutral",
-    "2": "Positive"
+    "1": "Positive"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
     "Negative": 0,
-    "Neutral": 1,
-    "Positive": 2
+    "Positive": 1
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

model.safetensors

@@ -1,3 +1,3 @@
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-size 497798148
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+size 497795072

tokenizer.json

@@ -1,6 +1,11 @@
 {
   "version": "1.0",
-  "truncation": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
   "padding": null,
   "added_tokens": [
     {

training_args.bin

@@ -1,3 +1,3 @@
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 size 5240