End of training

README.md

@@ -13,11 +13,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.1272
-- Train Sparse Categorical Accuracy: 0.3281
-- Validation Loss: 1.0190
+- Train Loss: 1.0941
+- Train Sparse Categorical Accuracy: 0.375
+- Validation Loss: 1.0186
 - Validation Sparse Categorical Accuracy: 0.3333
-- Epoch: 0
+- Epoch: 2
 
 ## Model description
 
@@ -44,6 +44,8 @@ The following hyperparameters were used during training:
 | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
 |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
 | 1.1272     | 0.3281                            | 1.0190          | 0.3333                                 | 0     |
+| 1.1254     | 0.2969                            | 1.1164          | 0.0                                    | 1     |
+| 1.0941     | 0.375                             | 1.0186          | 0.3333                                 | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:06118e3ec060adabeb14d3fcb9d20bbe5d68fd7b75a3f9191551d5ec39cb6b4f
 size 498865280