End of training

README.md

@@ -14,7 +14,7 @@ should 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:
-- Loss: 0.2159
+- Loss: 0.1542
 
 ## Model description
 
@@ -39,18 +39,16 @@ 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
-- lr_scheduler_warmup_steps: 100
-- num_epochs: 5
+- lr_scheduler_warmup_steps: 300
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.2463        | 1.0   | 1563 | 0.2159          |
-| 0.1876        | 2.0   | 3126 | 0.2171          |
-| 0.1535        | 3.0   | 4689 | 0.2698          |
-| 0.1056        | 4.0   | 6252 | 0.3186          |
-| 0.0861        | 5.0   | 7815 | 0.3388          |
+| 0.213         | 1.0   | 1563 | 0.1663          |
+| 0.1599        | 2.0   | 3126 | 0.1989          |
+| 0.0974        | 3.0   | 4689 | 0.2297          |
 
 
 ### Framework versions

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tokenizer.json

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   "version": "1.0",
   "truncation": {
     "direction": "Right",
-    "max_length": 256,
+    "max_length": 512,
     "strategy": "LongestFirst",
     "stride": 0
   },