README.md

---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: sagemaker-distilbert-emotion
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      args: default
    metrics:
    - type: accuracy
      value: 0.9185
      name: Accuracy
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      config: default
      split: test
    metrics:
    - type: accuracy
      value: 0.9185
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGQzNGQ2NDM0MDUyMGM2ODQ4OTJiOTkyMGY1MmM3YWVkNjUxNWY0ZTdhODIzZjAyMTgxYzRlOGFmMTFkZWE0OSIsInZlcnNpb24iOjF9.JDpVqPUDud_xhiZ1HIqixmrckHQj3vWWgd_sHFlQRZst_HncPkNeSlqTzjQfMSVr8T33XJSlZmuyqIcUHCX4Aw
    - type: precision
      value: 0.8869690559183302
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzMxZjA3MTRhZmQwNTIxYTY4NTcyOWJhZGUxNTA3OWM4NjEyNzEwZTI3NmU5OWM1N2E2NzkxNzI2N2YxYjI2YyIsInZlcnNpb24iOjF9.ugrxolv5gjUI5rib1S_9S_9y2kCfzA7v0eWOouXY23nYMFW5Ph7izzJyk9j8Q0CZ5aCM3KO8F1WQgT4xbdLMBQ
    - type: precision
      value: 0.9185
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTNiZmYxNTU0ZmVhMTIxNDUxYTIwYmFmMWRiMTViZThhMDc2NmMwZmRjY2VlNDlkMTZlMGZhMTU3YzVkNTgyYSIsInZlcnNpb24iOjF9.cajiwdbiWBwuZ1IMh092E8UWG6cll4bHMf_XK18p3-OV3Lt0MVnxF1pEJBjL8NAWhjpSe8EtKyXXCUCm7taqCg
    - type: precision
      value: 0.9177420617963024
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzgwYzgyY2Y2OTE3M2U1YTZjMGZkYjM4Y2ZiMjdkM2Q3YzM5MjRlYWFkM2ZjNzgzMGQ3OGM3ZTg4ZjJlYTgyOCIsInZlcnNpb24iOjF9.NhQvQwuGf7R5pzvmInhtdp5AUojf-svZYzo4lfOEF6Uv0w9d6Pl1qm0kOX_GWl5a6eqNYp0iSbj7sStHDNKyAQ
    - type: recall
      value: 0.8696773617395324
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODgwMTBiMzlmNWRlOTVjYzM4ZDBkYjA1Njk5MzY2MTQzOGI3Yjc2NGNmOWYxZTdmOThkYTVjZGEwYWMxOGUyMCIsInZlcnNpb24iOjF9.SdDWnPxYoCa-xb_H4wiRekw0hjSJJnb8yh0GKIZSHEQgvzjf8gs_YFAC0hP1xUyOjvf7j-_fJWd6I6b2PYPgAA
    - type: recall
      value: 0.9185
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTMyOTUxMjQ4NWNhNjgyYjA1MzhmMjVhYzk5MGYyYTAxODUyYmU0NDg5YzhjNTBhMGQ2Y2ZmMzQwNGU5YTQ3NyIsInZlcnNpb24iOjF9.33rHXO10ZvGVLQn7sWDzYawXKy-r-iLnp0Y7Pne4HGZHE118jW19VvEHiYfMPbRDB0ibyd9d7f43sIYlxxFXCw
    - type: recall
      value: 0.9185
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjBhNWVjZDIwNzA5ZDE5MjRiNGM3MmJmNWM3NTA5Njk1ODcxOWFiZjNjZmRiNjYwNjQ1YmQyM2ViZDUxNmIyZiIsInZlcnNpb24iOjF9.EjnIdbANpRpQm5maOCvX5rRmqKGl3qZmBYnJeV-1mMER6a_TElSVWsK9QN13F3uW1iRqafkCWxUWC0brhqPVBw
    - type: f1
      value: 0.8772854847626651
      name: F1 Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjBlODY0Yzk5ZDQ0YWQ2NjIxMjI1MzhmNzhjYWZhMjNiZGY4ZTFlZmViMWUzMjEzMTIwMTMzYjFiM2I3NjE4OCIsInZlcnNpb24iOjF9.JQLYalB4A3K9iA7cJI_qZQShq35qWKS_G4CvvKALbUUrvsLzPJxyOcSnlrq-oC9DPXuMEl6UimXUq-L5MeyVDg
    - type: f1
      value: 0.9185
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjMxNThiNDI5NjI3OWZjNzAwNzhjZDUxZDZhYTEzYmE5MjFiNzc3YjU3NmYyMjkwMDFhYWJiMTExNDllMjc0NiIsInZlcnNpb24iOjF9.Rbx4S8uFK6p2x0ejRvzKIv9GCh6EXA0J4xNT8CMAJibQKwpLXO89S3RIXRdra0JDtZV_2QPuLWysLVZsqYv2Cw
    - type: f1
      value: 0.9175578471721796
      name: F1 Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmI3N2ZhOTgxYjI4ZGVhNjNkZDI1ODIzOWE2ZTk0YzJiOGQ0NWE3MjE1MTQ3YTAzZjdkMjc5MzE0MjQ2YzUwMiIsInZlcnNpb24iOjF9.Uaz_KVUaTYphb3FpaaCxz7FjZ6EtYs6-46boChr1bdtoCEUli1nLiSJemqutsIl-YzbeAiVv8VUOkfuFNjI6Cg
    - type: loss
      value: 0.24682247638702393
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTkwYzIyZDMxNWY5YzE4ZmQ3NjUxYzk1ODA2Zjg0YjY0OTZiNzAwYzAyNGE0YmUzYWVjODUwNjU1OWI2NDhhMCIsInZlcnNpb24iOjF9.hJN2jySrFMxpT2OPVUJxbLDVl4jfGhSmUnxGOzZRPahKAgvBngcTi6d-BY0Jyndo-ojPUCsHE8zcagfnTYB5Ag
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# sagemaker-distilbert-emotion

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2468
- Accuracy: 0.9185

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9175        | 1.0   | 500  | 0.2468          | 0.9185   |


### Framework versions

- Transformers 4.12.3
- Pytorch 1.9.1
- Datasets 1.15.1
- Tokenizers 0.10.3