Model save

README.md

@@ -3,9 +3,6 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
 model-index:
 - name: emotion-analysis-3000
   results: []
@@ -17,10 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # emotion-analysis-3000
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3266
-- Accuracy: 0.8949
-- F1: 0.8947
 
 ## Model description
 
@@ -47,16 +40,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 232  | 0.2877          | 0.8938   | 0.8939 |
-| No log        | 2.0   | 464  | 0.2719          | 0.9091   | 0.9088 |
-| 0.2784        | 3.0   | 696  | 0.3090          | 0.9003   | 0.9003 |
-| 0.2784        | 4.0   | 928  | 0.3266          | 0.8949   | 0.8947 |
-
-
 ### Framework versions
 
 - Transformers 4.39.3

runs/Apr16_15-33-28_DESKTOP-TE1H4IM/events.out.tfevents.1713274410.DESKTOP-TE1H4IM.26280.1

@@ -1,3 +1,3 @@
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+oid sha256:04b291d94ca4841d51e3391b7567ff8872011b087c9b5fd98e4926afa0280142
+size 6134