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: 0.921
      name: Accuracy
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      config: default
      split: test
    metrics:
    - type: accuracy
      value: 0.921
      name: Accuracy
      verified: true
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    - type: precision
      value: 0.8870419502496194
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTZhNTg0ODU0YmYxZGMxNDZhOTg4M2Y2OTUzZGZmZmQ3ZDdmMmQyMWQ1MTc3ZDIzM2ZlYjg3NGVhOTBhNzJiMiIsInZlcnNpb24iOjF9._ZojNfDN63jqrciNdn8xWhJ38IkaeIy_y8gOU0r9Wf3Ki06ZcrX4qAz8KVF9LIQffmK4EupUAlNFycxf3SZYBA
    - type: precision
      value: 0.921
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2Y0ZGRhYWMxYTIwOGQzYzQ1MGIxOGZkMzM5YWYxN2RhZTgyZjJiNzc2MDY3YTk4YWYyOGI0MDE0M2JiYTk0NCIsInZlcnNpb24iOjF9.tPd-tWnKPt13vGMXk_OGpCgllvinP0Pry5YAvvcjnIKo33eJ5RCKay8u5Q2TTLCU71Lndf_x-A2qWInLXEk-AA
    - type: precision
      value: 0.9208079974712109
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGUxYjkzM2MzOWNhYjIyZGE4ODYyY2E1MTRiMGNiMGM3NDk1Y2Q3ZjEyZDAzY2ZhZTFjYmE3YzY1MjM0YWMzZiIsInZlcnNpb24iOjF9.XNf83HOOYCJmb_BKpNM-ullwiqLoRBQLbA4FAa6v3bfH_BLwK3vve_Ym3xa7uNRkuJGM-clvkeXEaEqAz99JBA
    - type: recall
      value: 0.8688429370077566
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2U0MmYzNTkyY2U0MDNiMDBjY2I3YWI0OGViZDBlZjJhNDBmZWE3NGYxMWFjMDFmMmVhM2RhZmY4ZWVlNzNkMiIsInZlcnNpb24iOjF9.J3qsAJm9T7kqmuOFs67Fq7RLEN2-cQ2RgUhqvvyO_OWXu3JVucTgCqQhpoKa1GHWVX0illbbozmAQ5OK5wBXCg
    - type: recall
      value: 0.921
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGQ2NGNkYWQwMWY3ZmIyNzBiMTEwM2M4MWVlNzJiMGExMjk5MmY4ODgxYjM1YjUwNGIwMjNkZDk3NTBlNjI5NCIsInZlcnNpb24iOjF9.iZgzAfNdWlyEKAWwE32o3D6Ely76ZJ2ySVxl0jBetL4YGWgOHSybrYvcZ2kB8sx3QfOc5L_vWyWNSbY5HAVeAA
    - type: recall
      value: 0.921
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODcwOWIxMzFjM2VmM2E1MmZlOGM1N2JiNjQwMGM0MzEzNzQ5NzJlM2I3MDdkYTMzN2NlYzU5ZDQwODBjYWFmZiIsInZlcnNpb24iOjF9.PlvoxtJ9Bj5G2w_E6Cx5VG5maRPP5dn4YzOX0xYPu_J7iiXRRLvwp12Q6vIUwsZMoBM4jACrh-rQKZ_g_yyHCw
    - type: f1
      value: 0.87642650638535
      name: F1 Macro
      verified: true
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    - type: f1
      value: 0.9209999999999999
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTk0ODExMTliNTJlYjExNWExNDQ2NDUwNjkyMjA3ODg5YTk0NmFhNmMxZGQ0MzMxZjgxNGFjMmNkZWI1MTMzOCIsInZlcnNpb24iOjF9.dqucaDtPQ0A1KZkT4q9Ojfgtf2wZiJmjaKrvTdbhsvf7gNfYnJsMGaDIOxp_YoCEXGRMXKsknANx_VA7mOKSDA
    - type: f1
      value: 0.9203938811554648
      name: F1 Weighted
      verified: true
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    - type: loss
      value: 0.23216550052165985
      name: loss
      verified: true
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---

<!-- 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: 0.2322
- Accuracy: 0.921

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9306        | 1.0   | 500  | 0.2322          | 0.921    |


### Framework versions

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