End of training

README.md

@@ -3,11 +3,26 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
+datasets:
+- emotion
 metrics:
 - accuracy
 model-index:
 - name: results
-  results: []
+  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: 0.929
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # results
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+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: 0.8388
-- Accuracy: 0.6964
+- Loss: 0.1806
+- Accuracy: 0.929
 
 ## Model description
 
@@ -49,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 179  | 0.6090          | 0.6670   |
-| No log        | 2.0   | 358  | 0.6534          | 0.6764   |
-| 0.4566        | 3.0   | 537  | 0.8896          | 0.6702   |
+| 0.2282        | 1.0   | 1000 | 0.2045          | 0.9285   |
+| 0.1271        | 2.0   | 2000 | 0.1671          | 0.9385   |
+| 0.0796        | 3.0   | 3000 | 0.1789          | 0.9415   |
 
 
 ### Framework versions

config.json

@@ -8,7 +8,23 @@
   "dim": 768,
   "dropout": 0.1,
   "hidden_dim": 3072,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5"
+  },
   "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5
+  },
   "max_position_embeddings": 512,
   "model_type": "distilbert",
   "n_heads": 12,

model.safetensors

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runs/Mar10_23-47-31_fa8d0bdd99a3/events.out.tfevents.1710114461.fa8d0bdd99a3.4644.24

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training_args.bin

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