End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7576
+      value: 0.7391304347826086
     - name: F1
       type: f1
-      value: 0.7044852616595344
+      value: 0.7298701298701299
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on the amazon_reviews_multi dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6020
-- Accuracy: 0.7576
-- F1: 0.7045
+- Loss: 0.5437
+- Accuracy: 0.7391
+- F1: 0.7299
 
 ## Model description
 
@@ -58,8 +58,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6077        | 1.0   | 625  | 0.5697          | 0.7588   | 0.7045 |
-| 0.5097        | 2.0   | 1250 | 0.6020          | 0.7576   | 0.7045 |
+| No log        | 1.0   | 118  | 0.5791          | 0.8261   | 0.7944 |
+| No log        | 2.0   | 236  | 0.5437          | 0.7391   | 0.7299 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:68cdf9cc331f6078d3c23117a1dfe455d56003dd8b1ad0c4f179d233e4d8bfa1
+oid sha256:8113e6d24fa749f2528c16bff28da29172de6cc14de7415d028bee8b38d58dcf
 size 669503281