End of training

README.md

@@ -3,26 +3,11 @@ license: apache-2.0
 base_model: bert-base-uncased
 tags:
 - generated_from_trainer
-datasets:
-- emotion
 metrics:
 - accuracy
 model-index:
 - name: 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
+  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. -->
 
 # results
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the emotion dataset.
+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: 0.3674
-- Accuracy: 0.929
+- Loss: 0.8867
+- Accuracy: 0.6773
 
 ## Model description
 
@@ -52,22 +37,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 8.42e-05
+- learning_rate: 5e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1807        | 1.0   | 1000 | 0.2292          | 0.927    |
-| 0.1326        | 2.0   | 2000 | 0.2684          | 0.9305   |
-| 0.0675        | 3.0   | 3000 | 0.2977          | 0.938    |
-| 0.0341        | 4.0   | 4000 | 0.3249          | 0.9385   |
+| No log        | 1.0   | 179  | 0.6222          | 0.6775   |
+| No log        | 2.0   | 358  | 0.6218          | 0.6921   |
+| 0.4718        | 3.0   | 537  | 0.8141          | 0.7141   |
 
 
 ### Framework versions

config.json

@@ -9,24 +9,8 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "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,
   "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": "bert",

model.safetensors

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training_args.bin

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