bert-base-uncased-finetuned-t_feedback

README.md

@@ -7,18 +7,18 @@ metrics:
 - accuracy
 - f1
 model-index:
-- name: DeBERTa-sentiment
+- name: bert-base-uncased-finetuned-t_feedback
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# DeBERTa-sentiment
+# bert-base-uncased-finetuned-t_feedback
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0257
+- Loss: 0.0255
 - Accuracy: 1.0
 - F1: 1.0
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.469         | 1.0   | 51   | 0.1332          | 1.0      | 1.0    |
-| 0.3191        | 2.0   | 102  | 0.0535          | 0.995    | 0.9955 |
-| 0.1143        | 3.0   | 153  | 0.0257          | 1.0      | 1.0    |
+| 0.47          | 1.0   | 51   | 0.1370          | 1.0      | 1.0    |
+| 0.3169        | 2.0   | 102  | 0.0525          | 0.995    | 0.9955 |
+| 0.1096        | 3.0   | 153  | 0.0255          | 1.0      | 1.0    |
 
 
 ### Framework versions

model.safetensors

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 size 437958648

runs/Jun25_21-45-09_5d90d51bf3f6/events.out.tfevents.1719351909.5d90d51bf3f6.506.19

@@ -0,0 +1,3 @@
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+size 6934

training_args.bin

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 size 5112