imsarfaroz/fine-tuned-albert-tweets

README.md

@@ -1,13 +1,28 @@
 ---
 license: apache-2.0
+base_model: albert-base-v2
 tags:
 - generated_from_trainer
-base_model: albert-base-v2
+datasets:
+- emotion
 metrics:
 - accuracy
 model-index:
 - name: fine-tuned-albert-tweets
-  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: 0.9305
 ---
 
 <!-- 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. -->
 
 # fine-tuned-albert-tweets
 
-This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
+This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6075
-- Accuracy: 0.6775
+- Loss: 0.1757
+- Accuracy: 0.9305
 
 ## Model description
 
@@ -49,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 179  | 0.6131          | 0.6586   |
-| No log        | 2.0   | 358  | 0.6075          | 0.6775   |
+| 0.3202        | 1.0   | 1000 | 0.2518          | 0.912    |
+| 0.1537        | 2.0   | 2000 | 0.1757          | 0.9305   |
 
 
 ### Framework versions

config.json

@@ -13,9 +13,25 @@
   "hidden_act": "gelu_new",
   "hidden_dropout_prob": 0,
   "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5"
+  },
   "initializer_range": 0.02,
   "inner_group_num": 1,
   "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5
+  },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "albert",

model.safetensors

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runs/Mar07_22-16-13_55cf35d0088e/events.out.tfevents.1709849774.55cf35d0088e.377.0

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training_args.bin

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