Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use bhadresh-savani/bertweet-base-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhadresh-savani/bertweet-base-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bhadresh-savani/bertweet-base-finetuned-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bhadresh-savani/bertweet-base-finetuned-emotion") model = AutoModelForSequenceClassification.from_pretrained("bhadresh-savani/bertweet-base-finetuned-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
#3
by autoevaluator HF Staff - opened
README.md
CHANGED
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@@ -10,19 +10,19 @@ model-index:
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- name: bertweet-base-finetuned-emotion
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: emotion
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type: emotion
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args: default
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metrics:
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type: accuracy
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value: 0.929
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-
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-
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value: 0.9295613935787139
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- task:
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type: text-classification
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name: Text Classification
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config: default
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split: test
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metrics:
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type: accuracy
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value: 0.925
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verified: true
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-
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-
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value: 0.8722017563353339
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verified: true
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-
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value: 0.925
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verified: true
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-
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value: 0.9283646705517916
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verified: true
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-
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-
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value: 0.8982480793145559
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verified: true
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-
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value: 0.925
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verified: true
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value: 0.925
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verified: true
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value: 0.883488774573809
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verified: true
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-
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-
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value: 0.925
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verified: true
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-
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-
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value: 0.9259820821054494
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verified: true
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-
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-
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value: 0.18158096075057983
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verified: true
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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|
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| 10 |
- name: bertweet-base-finetuned-emotion
|
| 11 |
results:
|
| 12 |
- task:
|
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| 13 |
type: text-classification
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| 14 |
+
name: Text Classification
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dataset:
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name: emotion
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type: emotion
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args: default
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metrics:
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- type: accuracy
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value: 0.929
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name: Accuracy
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- type: f1
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value: 0.9295613935787139
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| 25 |
+
name: F1
|
| 26 |
- task:
|
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type: text-classification
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name: Text Classification
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config: default
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split: test
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metrics:
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+
- type: accuracy
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value: 0.925
|
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+
name: Accuracy
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verified: true
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| 39 |
+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZThkYWEwYTdjY2IwMmE4NmM2Mzc3ZTVkNTNmNWYwNGUxYTM5ZDA5ODEwMGQ1ZGU0ZmJmY2U1ZDhjYWRlZjU2NSIsInZlcnNpb24iOjF9.QJYOUR_EPrYzbZGBb1N27BSlTQIdvd1hmUfnfPJdTGGrNoQwXBUA4amVsWh1txV_YtO8hcCx-b3pTqzpdy1FAw
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| 40 |
+
- type: precision
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value: 0.8722017563353339
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| 42 |
+
name: Precision Macro
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verified: true
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+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2Y3ZGM2NDk5ZTQyNTNjZDdmNjk5Y2IwNzkxNmU3MDM0YTljMTJjMzFmMTlkN2ZjN2NhZjNhYTVlMWY5NWFjNCIsInZlcnNpb24iOjF9.cBYScC_c6g1ECi3rj6HiRI3AMuoxg8wp7JKha0UKh1Q2qjzTr5ml8JAByPL0iu-Ix5BO2Bsx0fZNFhUS82LiCg
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+
- type: precision
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value: 0.925
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+
name: Precision Micro
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verified: true
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+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjVjYjgwYjE2ZWUyM2Y5MzE0ODk4NDA5MGM2ODIxYTgxZDYyMTUxNzcwZWQ2MjZjZGYwODkyNzFkMjAxOTUzYyIsInZlcnNpb24iOjF9.phgA4BJcqp4ZUhecNeuGU8OAf6f_asN9Mf6JfFGd0cPORYltd_N4Wf6EXqu6z1ADqWeeibteEyIUwmmMEbjYBQ
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+
- type: precision
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value: 0.9283646705517916
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name: Precision Weighted
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verified: true
|
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjE4MDUyYjU4YTc4Mzk4YmIwMGIzZWEyYmU5ZDQ0MjRhZDQ4OGMwZjVmZmEyNDM5NzYyZTMzMTJiMmRkZTU4NiIsInZlcnNpb24iOjF9.LbYjoga-JSCzHZAF1fhm1CfuaSSI-ok0yXj3gtd4QTWY1TjzOHoMG3Q6zEGz84l6ASoHsvi9wjS7_EaSQLB4Dw
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+
- type: recall
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value: 0.8982480793145559
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+
name: Recall Macro
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verified: true
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+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzFiY2JmYWRhYmE1YzA1MmRhODI0MGE1NTRiMWE3YmNjZWQ4OGExMDg3NmUzYmUzYTYyNTdkNjM1Y2M0ODJmMCIsInZlcnNpb24iOjF9.dAq2gloG0O-4z5Ng7RZkFO7e0og3wBQBmIDzic6onwjw83yaHPVfRd1e0j6mNhMUifOwPLEavnYkBYa9DVFqCw
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+
- type: recall
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value: 0.925
|
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+
name: Recall Micro
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verified: true
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+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjg5Y2M2NWIwZmI4YjEyMmIzYjNjZmQyMzhlYjg2ZDRmY2U1M2I1NzQzYjRmMzYxYzJkNTI5MDJjMmY5ZDVmNyIsInZlcnNpb24iOjF9.Z5hmQBUsoKAgqTXk47aUDNKf5jJ0mXzY9TAgM9vG8I3pgCT465PEfM-TOKfG_YcPMLd3tkB8AdwDpmVnNj5QCw
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+
- type: recall
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value: 0.925
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name: Recall Weighted
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verified: true
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+
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODIzMjY1YjgzYzAwNjk2NGI1ZjFhZTg4MGY1Mzg5NDhkM2EzY2JlMWM4MjZmNjg4ZmEyZDJmZTUwNDFkZmNiOCIsInZlcnNpb24iOjF9.S-9p04Lru9WTzm50mM5qGM4oA-TPgNw6uwxKr5AejU1iPKjyTDQvoumBs41T5OKL5zN_NyYXsFsCermSbirLAw
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- type: f1
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value: 0.883488774573809
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name: F1 Macro
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verified: true
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value: 0.925
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name: F1 Micro
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verified: true
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- type: f1
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value: 0.9259820821054494
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name: F1 Weighted
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verified: true
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTY3NDhjNmMzYzM1MjIyY2FkYjI5YTQ1NTdmODhmMGVlNjc2ZjQ3MWZmZWEyMDQ1OGI1NDllZTBhM2VjYzg2MSIsInZlcnNpb24iOjF9.Akd8PVgc2tyin_TaOZV1bio_b00g3QmlHA-GWV3rMX13B1imDLuPAuP-HWIwgqg-umQUkJzcUQlTqbcQ06v0DQ
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- type: loss
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value: 0.18158096075057983
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name: loss
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verified: true
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|