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--- |
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language: en |
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license: apache-2.0 |
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tags: |
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- sagemaker |
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- roberta-base |
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- text classification |
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datasets: |
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- emotion |
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widget: |
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- text: I am really upset that I have to call up to three times to the number on the |
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back of my insurance card for my call to be answer |
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model-index: |
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- name: sagemaker-roberta-base-emotion |
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results: |
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- task: |
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type: text-classification |
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name: Multi Class Text Classification |
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dataset: |
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name: emotion |
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type: emotion |
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metrics: |
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- type: accuracy |
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value: 94.1 |
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name: Validation Accuracy |
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- type: f1 |
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value: 94.13 |
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name: Validation F1 |
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- task: |
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type: text-classification |
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name: Text Classification |
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dataset: |
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name: emotion |
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type: emotion |
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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: 0.931 |
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name: Accuracy |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmM1ZmI0NjZhYjdlMWU4NWUwZmFjODFmMmM5MTlhMmEyMmQwOTk2NjQ5ZDNlYmFlMGEyMTY4Y2JiMTcwM2MwNiIsInZlcnNpb24iOjF9.haDbUk1y7nW1e_ext0s1xKefyOzep-XFa1HEkNQEcNV0cHCSRb-0YFakMf5Iee6q_EWFUS-QYxNkgEBlbw3fCQ |
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- type: precision |
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value: 0.8833042147663716 |
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name: Precision Macro |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjZkOTQyMzkwYjE1ZWQ5YjJkMTEzNmIyZmFlMjkwY2YxNzA3OWE0ZDk5YjJlOWVhOTU5Nzc4ZTk5Mzg5NDcxOCIsInZlcnNpb24iOjF9._XhknNSsiailHiMr1SH9ki7SRswR_b-embALunoCjhBssh9WERkv0z1xpsbw7ORo0wx7WCslZRdJWaQoXOmgDQ |
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- type: precision |
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value: 0.931 |
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name: Precision Micro |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGY0MTc0ZDBiYmZlYmFmMTcyYjk5MWM0MTRmYTlhY2U1ODY5NTQzNTQ5YjAzN2U0YjljNDAzZDQ5NDBkZDUwYyIsInZlcnNpb24iOjF9.313HYKetR4S4kjcMvEk9Yj2J-Ox8ZqvVk4FLrF6UmxlXYZ4F3put-89BEOxGl_ScugjjAWhKY1pHLPYpKz9PAA |
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- type: precision |
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value: 0.9337002742192515 |
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name: Precision Weighted |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjQ1ZDIzNmE3MjljMTk2NTBmNzcyMTEyOTUwZTljYTA2MjIwY2E4ZThkNGVjYjQwNzU3MTcxMzBiYzJkNWIzOSIsInZlcnNpb24iOjF9.6yXKQ9WS9AWdt1jxixtA5O2S1bcPTKQqIOw291Ytam8OI-zdTI2jwltT6JdU4lHdhTi5797zeNldJMCxGPR2DQ |
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- type: recall |
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value: 0.9087144572668905 |
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name: Recall Macro |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzJhNTFmNGJkYTAxNzRiOWQ4YzQyMGY5NGQxMjBiMmRjZTA5OTM2ZjM0NWY0ZDJiOTIyODQzZTZkMzEzZmY4YSIsInZlcnNpb24iOjF9.Fy1gkGvRiyANGU6nYgc5QbhccqAfb4PjxEk1EkJAIAZJjs-f0hffwUDlJt_6gRY3KKnoU2kKg1XxpWjybRY7BQ |
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- type: recall |
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value: 0.931 |
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name: Recall Micro |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTgwYWJmZDAzM2VkOGNjNjY3NjViOTFiMTYyZDc4ZDIzY2VhNTcwMDg3MjdiOTI4Nzc5ODI4N2ExYzY5ODAzMyIsInZlcnNpb24iOjF9.bEW-tZ-5JqkPDDfqkrdvzlzTGEJtYqRACZI1Jv7C8fWkJ8uJj0eQ8TDhcdGGDnFML-q1z3tnkO6PJuK9V2IxAg |
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- type: recall |
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value: 0.931 |
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name: Recall Weighted |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTM2ZDk4NDQ2YWIwM2VjNzUxZjQ0YzU4MzViZGMzYzA3YjlhMTI1NjQwOTM3M2U4NGJhNTMxYzllMjRkMzU2NSIsInZlcnNpb24iOjF9.k9yprOWEoB0-k306GyDGF-g4uw3kABLc8iE_3E5ZYfVbo9VHPo61GuSsWJyYJ7_aq6zWbzgfOFEwUeVjcmnaDA |
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- type: f1 |
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value: 0.8949974527433656 |
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name: F1 Macro |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODg0ZDllYWJkYWZkMWY2NjEzYWIxMWIwMWUyZDhmNWEzM2FmN2E0MWEwOTIyMTM2YTI1MDdmYmRmZWQ5ZmVmNCIsInZlcnNpb24iOjF9.DUD3dfb4vRu-Z9YxvDErJaPLuZIEDBNsdqzkf4ee6dkOCOnYtUhGAybnxtGN1xSYsynXYhU-ymCajWcrVKUCAA |
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- type: f1 |
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value: 0.931 |
|
name: F1 Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGU0MTYyOTNjOTBmNzAxNjVlZmQxYmRkMmE5MWY2NzhlNjg0ZGZkMmNmZmI3Zjk1NjJlYTdjMGRhMDMwYzAzNCIsInZlcnNpb24iOjF9.h0wCmhwRT4qRZJcc2zGP3T7dF0_wKdKzTtSVoVWFOUzQZ3RoeY2Hfjl3XA7yyw9KnoDWnLiW8DU_5kOBX-peCQ |
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- type: f1 |
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value: 0.9318434300647934 |
|
name: F1 Weighted |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmU4OGY4M2NkYWExNjI3Yjk0YmYzNWJjZGQ5ZGNmYzc4ZDk4YzRmZDRiNmRkN2VlNDZhOGIwZDc3MzcxYjVlYiIsInZlcnNpb24iOjF9.qhwi7AV-7NSm1yVd8v1Ea3nTRAFXfqLMwUJ5PUbPSa11jJ0tZNOQVDXHMAD8fVmoueLgZNRUpPVIB881Sq3EBg |
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- type: loss |
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value: 0.17379647493362427 |
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name: loss |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDdjODE2MjA5ODg2MmM2OWJmMjMzMzUzNGU1ZDc5NjRkNGU4N2VmNmM2NWE0YTEyYWMxNGUzN2M3YTkxNzUyMCIsInZlcnNpb24iOjF9.qcQWfHuRnfiluicR7gke3vm9u701hB4Bp0YaX2opaxL6d5DRCzuqAg-2kdmhhOL-8DW5JhY6gTrF14AEuEE9Cw |
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--- |
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## roberta-base |
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|
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This model is a fine-tuned model that was trained using Amazon SageMaker and the new Hugging Face Deep Learning container. |
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- Problem type: Multi Class Text Classification (emotion detection). |
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|
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It achieves the following results on the evaluation set: |
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- Loss: 0.1613253802061081 |
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- f1: 0.9413321705151999 |
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|
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## Hyperparameters |
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```json |
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{ |
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"epochs": 10, |
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"train_batch_size": 16, |
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"learning_rate": 3e-5, |
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"weight_decay":0.01, |
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"load_best_model_at_end": true, |
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"model_name":"roberta-base", |
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"do_eval": True, |
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"load_best_model_at_end":True |
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} |
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``` |
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## Validation Metrics |
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| key | value | |
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| --- | ----- | |
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| eval_accuracy | 0.941 | |
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| eval_f1 | 0.9413321705151999 | |
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| eval_loss | 0.1613253802061081| |
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| eval_recall | 0.941 | |
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| eval_precision | 0.9419519436781406 | |
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