osanseviero/trainer-chapter2

README.md

@@ -5,9 +5,28 @@ tags:
 - generated_from_trainer
 datasets:
 - emotion
+metrics:
+- accuracy
+- f1
 model-index:
 - name: trainer-chapter
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: split
+      split: validation
+      args: split
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9285
+    - name: F1
+      type: f1
+      value: 0.9289287066694343
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +35,10 @@ should probably proofread and complete it, then remove this comment. -->
 # trainer-chapter
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1383
+- Accuracy: 0.9285
+- F1: 0.9289
 
 ## Model description
 
@@ -35,8 +58,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -44,6 +67,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 250  | 0.1933          | 0.9265   | 0.9277 |
+| 0.3373        | 2.0   | 500  | 0.1383          | 0.9285   | 0.9289 |
 
 
 ### Framework versions