End of training

README.md

@@ -26,16 +26,16 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9404702200759214
+      value: 0.9449811951859677
     - name: Accuracy
       type: accuracy
-      value: 0.94
+      value: 0.944
     - name: Precision
       type: precision
-      value: 0.9409527317913978
+      value: 0.945151502415633
     - name: Recall
       type: recall
-      value: 0.94
+      value: 0.945
 ---
 
 <!-- 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: 0.1207
-- F1: 0.9405
+- Loss: 0.1105
+- F1: 0.9450
 - Roc Auc: None
-- Accuracy: 0.94
-- Precision: 0.9410
-- Recall: 0.94
+- Accuracy: 0.944
+- Precision: 0.9452
+- Recall: 0.945
 
 ## Model description
 
@@ -69,20 +69,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 1.7e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:---------:|:------:|
-| 0.1484        | 1.0   | 688  | 0.1006          | 0.9420 | None    | 0.942    | 0.9420    | 0.942  |
-| 0.0816        | 2.0   | 1376 | 0.1207          | 0.9405 | None    | 0.94     | 0.9410    | 0.94   |
+| 0.1332        | 1.0   | 688  | 0.1105          | 0.9450 | None    | 0.944    | 0.9452    | 0.945  |
 
 
 ### Framework versions

model.safetensors

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tokenizer.json

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-    "direction": "Right",
-    "max_length": 512,
-    "strategy": "LongestFirst",
-    "stride": 0
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   "padding": null,
   "added_tokens": [
     {

training_args.bin

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 size 5240