README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - emotion
metrics:
  - accuracy
  - f1
model-index:
  - name: distilbert-base-uncased-finetuned-emotion
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: emotion
          type: emotion
          args: default
        metrics:
          - type: accuracy
            value: 0.9275
            name: Accuracy
          - type: f1
            value: 0.9273822408882375
            name: F1
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: emotion
          type: emotion
          config: default
          split: test
        metrics:
          - type: accuracy
            value: 0.919
            name: Accuracy
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzllYTdkMzk5MGQ5NmNhOGE1MjM3YTk5ZGRmNDk5YTIzNjlhMjU5YzRhYjkzMmRkOTI3ZThhNjkzYjJkMTk2NiIsInZlcnNpb24iOjF9.WAvZDHC0aRGwk1hp4OHxhQAxPRNhP8Fya9TBG5WahFqv1jbbahsmersBkkTWoJxndVSt30OQ1WPYhP1Lr89oCA
          - type: precision
            value: 0.8882001804445858
            name: Precision Macro
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGJiMTIxMWM3NDBhMjQ1MGQxYzFjOGJmMmFmNDViNWZkZTY5ZTUwNWM0MzZkOGM1OGUyY2Q3N2M2ODcwZDlmYiIsInZlcnNpb24iOjF9.lMvyFLkwrvPXye9z9N1cO_3fDkijvTwTRX9RPE2xBgGndCdFqnnWu37MUR_IkeHMAAmGTbpixSRfhQj-UBm_Cg
          - type: precision
            value: 0.919
            name: Precision Micro
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2RmZjM2NGRhNmJjOGIzN2MzNmMyZmQ2YTZiZjkwYzNmOWQzYzgxYzZmY2NlOTFhMDBlYmJkYTE1NTg1YWM5OCIsInZlcnNpb24iOjF9.G_JHEDflvedJsZe0uMn3VYyncqSTJXqnIBHx-veMhDthx9tpuIviZe0jXqvsXFQV9U6FIpUdUNwvZVkHfZDDAg
          - type: precision
            value: 0.9194695149914663
            name: Precision Weighted
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDM2ZDFkY2E1ZGI2MzJhZDE3MGQyMmFkMDE0ZjA4Y2NmOWJlNDg3ZWQ3NDU0MDcyODc0NDU2YjZjZjU2Mjk4NCIsInZlcnNpb24iOjF9.dQk7WfShH7iZq-KqwTysj_tx209ziB8na5Z31bnMndswrIEmHY9gqVp4yPLpi6fM0jEqBg-XzomY1GrqiWsfDg
          - type: recall
            value: 0.857858142469294
            name: Recall Macro
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmVmNTA5OGNmOWRhOGFjY2MyMWNhMzkxZjUxZmU0N2U3ZDFlYzJlZTIzYzk1NzcxY2M0MDA3ODk0MmQ4MTRiMCIsInZlcnNpb24iOjF9.kK0rceqpEDBxvkx4GhrIl7n2lKY5YqEUe3l_mBkzwzB4aLdTqkvghCuXVnm9W-YHkn_v0U3reEgYF-5dbO6cDA
          - type: recall
            value: 0.919
            name: Recall Micro
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2ZjOWVjNTljNjQ4NjE5YzMyOWE0MGQxZTVmOWJlMGMxYmUwZTJkN2Q1YjE1YzJhMjU1MzAyN2RmNGZmOTRlMyIsInZlcnNpb24iOjF9.2OZJpe39B2pPxqNtyfLlro2W4rYbZ-fYccDIfSAzl91aFg02v4VvoGZca4n7bIZRgY9ZUXafyxV-Wco-zUCuDw
          - type: recall
            value: 0.919
            name: Recall Weighted
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGUyODAwNjRkYjU4NzgzZjZjNmU3YmVkNmY4NzEyNzQxMzk5MmJiNTM4NDJjMGRmZjIxNDdmNGQ0OGRjMDhlNCIsInZlcnNpb24iOjF9.kB3a8M1g_Fm5YxfwsPANDhRU1OXffzNPJ39xUuultQAaV08AQkd_jwmwEPY05Z9v1-WFGoh_FrgWm2tDzd95Bg
          - type: f1
            value: 0.8684381937860847
            name: F1 Macro
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODJmNWI0MTNkOWVkYzcwN2NlYmZiYzUwYjY0ZGE5OWZkNzg3ZTgwNWVmZmI5MzJkYzBlMmRmOWEzM2Y3NjIwNiIsInZlcnNpb24iOjF9.vhk1X_3NgSiSr5_qPShFegRDMJVp3ZcdvekF3ogUEkDBS3loSN7K8aMZ7Y_55NDSHvyDX1cp9gybAoRcUbqJAA
          - type: f1
            value: 0.919
            name: F1 Micro
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDRhZmExM2Q5NGM1NzE0ZWFiY2E3MWU1MjQ2Mzk5OThkN2QwOGM0NDhhOTQzM2UyYTg1N2NkZTVjNDBmOTU4YiIsInZlcnNpb24iOjF9.yKaely8qV_R2e6_B5w9FmPv42H_iW_R1kWIP0KLHFlUBOCMv-tc419xTkt1MT_tbdXVWUQP-hgN2RN40ModVCQ
          - type: f1
            value: 0.9182406234430719
            name: F1 Weighted
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODNlYjI3MzA5OWUyMmU5OGFiZGQ1MjMzNzIyNTYxOTU3MDYzOWRlNTE3NWQ5MDVkNmQzNDI0MzVjZDYxMTI3NiIsInZlcnNpb24iOjF9.QslmDNLeaPnMcOCSNiK4d_jfxuG0LPLEaBYSA-DhlE3GqW8NdCwYLZWpVv9heLoOPETmtPDQ5d_IHbCTqClTAA
          - type: loss
            value: 0.21632428467273712
            name: loss
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzYwMWVlNDFhNTZmZTExMzUyYmEwYmFjYmYwZjkzODgwY2JmZWM3ZWFjZGU3OGE0MmYzZDgyOWZkMTY3NjAzNyIsInZlcnNpb24iOjF9.IPoMRSAeO2vxYwY06zq6BrZLEkIRhIB4T6F6NE2ADAznyEzeVUOHq81dxxIsJfPAWkVfKDhfjKA_HT72A4-tDQ

distilbert-base-uncased-finetuned-emotion

This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset. It achieves the following results on the evaluation set:

• Loss: 0.2237
• Accuracy: 0.9275
• F1: 0.9274

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.8643	1.0	250	0.3324	0.9065	0.9025
0.2589	2.0	500	0.2237	0.9275	0.9274

Framework versions

• Transformers 4.11.3
• Pytorch 1.11.0+cu113
• Datasets 1.16.1
• Tokenizers 0.10.3