Training completed!

README.md

@@ -1,8 +1,8 @@
 ---
 license: apache-2.0
+base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-base_model: distilbert-base-uncased
 datasets:
 - emotion
 model-index:
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.1554
+- Loss: 0.1622
 
 ## Model description
 
@@ -48,14 +48,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.2497        | 1.0   | 1000 | 0.2027          |
-| 0.1491        | 2.0   | 2000 | 0.1669          |
-| 0.0916        | 3.0   | 3000 | 0.1554          |
+| 0.2495        | 1.0   | 1000 | 0.1960          |
+| 0.1503        | 2.0   | 2000 | 0.1748          |
+| 0.0958        | 3.0   | 3000 | 0.1622          |
 
 
 ### Framework versions
 
-- Transformers 4.41.0
-- Pytorch 2.2.1+cu121
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

model.safetensors

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runs/May28_05-49-12_00eed13be1b0/events.out.tfevents.1716875353.00eed13be1b0.4552.3

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