End of training

README.md

@@ -3,26 +3,11 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-datasets:
-- imdb
 metrics:
 - accuracy
 model-index:
 - name: my_awesome_model
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: imdb
-      type: imdb
-      config: plain_text
-      split: test
-      args: plain_text
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.932
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_awesome_model
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
+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: 0.2310
-- Accuracy: 0.932
+- Loss: 0.2801
+- Accuracy: 0.8875
 
 ## Model description
 
@@ -64,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2248        | 1.0   | 1563 | 0.2013          | 0.9220   |
-| 0.1438        | 2.0   | 3126 | 0.2310          | 0.932    |
+| No log        | 1.0   | 150  | 0.3166          | 0.8762   |
+| No log        | 2.0   | 300  | 0.2801          | 0.8875   |
 
 
 ### Framework versions

model.safetensors

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 size 267832560

runs/Dec05_23-55-20_c911cb3c4076/events.out.tfevents.1701820520.c911cb3c4076.1917.1

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training_args.bin

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 size 4600