Training completed!

README.md

@@ -5,28 +5,9 @@ tags:
 - generated_from_trainer
 datasets:
 - emotion
-metrics:
-- accuracy
-- f1
 model-index:
 - name: distilbert-base-uncased-finetuned-emotion
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: emotion
-      type: emotion
-      config: split
-      split: validation
-      args: split
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.927
-    - name: F1
-      type: f1
-      value: 0.9268292545635263
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,10 +16,6 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-base-uncased-finetuned-emotion
 
 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: 0.2134
-- Accuracy: 0.927
-- F1: 0.9268
 
 ## Model description
 
@@ -65,17 +42,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8229        | 1.0   | 250  | 0.3106          | 0.9055   | 0.9046 |
-| 0.2488        | 2.0   | 500  | 0.2134          | 0.927    | 0.9268 |
-
-
 ### Framework versions
 
-- Transformers 4.37.0.dev0
-- Pytorch 2.1.0+cu121
-- Datasets 2.15.0
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu118
+- Datasets 2.16.1
 - Tokenizers 0.15.0

config.json

@@ -30,12 +30,11 @@
   "n_heads": 12,
   "n_layers": 6,
   "pad_token_id": 0,
-  "problem_type": "single_label_classification",
   "qa_dropout": 0.1,
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.37.0.dev0",
+  "transformers_version": "4.36.2",
   "vocab_size": 30522
 }

model.safetensors

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runs/Jan17_11-40-11_DESKTOP-9VP4L4L/events.out.tfevents.1705459212.DESKTOP-9VP4L4L.5312.0

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training_args.bin

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