README.md

---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-distilled-clinc
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: clinc_oos
      type: clinc_oos
      args: plus
    metrics:
    - type: accuracy
      value: 0.9332258064516129
      name: Accuracy
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: clinc_oos
      type: clinc_oos
      config: small
      split: test
    metrics:
    - type: accuracy
      value: 0.8587272727272727
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGRhMDFlZDliZTRhMTgxYjBlMWYzOTMwMWM0MWRjNDNmMjFkN2YxMGQ1NWJkYjM0Y2ZlZDcwODUxYTIzMDAyZCIsInZlcnNpb24iOjF9.VarQXyYyQ5BILypNiF2-0TVj1tM6XPUOD9FiPAvoO7B7Kv8jC8_G2_zeIVSvIb6S117YoqWYMSfnizPG_AOWAA
    - type: precision
      value: 0.8619245385984416
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjQ5MmIxOWNiYWMxMmIzNzk1MGY3ZjQ2MzI3NjQ0Zjg0MzdlNGNkYWFkNjk3YzRkMjZkNjZkMzdhNjcwNWNiNiIsInZlcnNpb24iOjF9.v47ni_l5XWFcKnuHW_a1FogjeOkM-XuPcjpRJlLz4A4ewjGsMbMTYxr2fehNv7fKDXzB76LJcwtytvESrBV8BQ
    - type: precision
      value: 0.8587272727272727
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmU2ZThmM2FiYTRmZDcwMzYwNTVjMjRjMzdmMDAwYjc2YWQ3NGIxMzcxZTU0ZDQwM2JmMGUyY2VlNWU0NjIxZSIsInZlcnNpb24iOjF9.AoAJE8-61MIXiCEvKYEhj-Sf94mQO-fPuMuDBeIomIV1AZb_byTAGzeU0jyPM_bexJoDb5GhCekOtGC_VIobCg
    - type: precision
      value: 0.8797945801452213
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmVkYjJlZTJmOWIxZDM4MzRmYzNiZGU3ZWEwOWVlOWY3MjA2MzZjYWI5YzY0NGE1YWM5NTIwMmViMzA0ZTQxOCIsInZlcnNpb24iOjF9.E8aG9AN3EWmqShvf4qiWH4qJS6xdUwhMMiRABOh2tgil0bfGGiAfm-3pmE2Fc6UhKXCuXz4mNNbSca84tyEkBw
    - type: recall
      value: 0.9359690949227375
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzQxNDUzNDg3OGFkMWUxMGZhM2EyYmMyYzQxNzQwMTNlNTc1OTNlNjRlMzdlYzllMTExYThkMTkwYzg4NDU5MiIsInZlcnNpb24iOjF9.mqEEyygFtgf7JtRPHFx7LCcGS-fhWk24tXojf8YkbaZI4NBtYMz93HRXCRvPe3cpyefObOlI_EXNrolWlA_ZCA
    - type: recall
      value: 0.8587272727272727
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjgyNTI0ZTNlN2YwZmIyNjJkNjQ5ZjBiNTNiYzQxNGM5YzZlMTljNDE1MjJhMGQwMDZiMmZjNjk3ODMzYjI2MSIsInZlcnNpb24iOjF9.doj7RQA8nZcmAl6aRunInLyxs2rSw6KeABEPsVZbcT1aNbUYgRMqBxsKANDF8-teffbRFN6daYBCHvZaQjGJBQ
    - type: recall
      value: 0.8587272727272727
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzNiMjM0N2E4MDVmYjFjOGE0YTYxMmQzMzA0YzMwOWE4Y2NhMDkyMGZhMWFiOWE4OWVjMGY2NDEyNDg5YjVkMCIsInZlcnNpb24iOjF9.g6qotb0BAADhY7biCNTSvjwbAQVOHb0izTFHKeUtQsX_wdc-iMLGp7XBf_i2DpktlrAXgdSODWmOrkFJ1lVDBA
    - type: f1
      value: 0.8922503214655346
      name: F1 Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTBiMDViNDZkMzc3NGE1NjViMGUxMGM3NmYwMDNjMjQyMzMxNTI3NDFjOWJlZTJhMTgzZTE0OTFlZGNiMzJhMiIsInZlcnNpb24iOjF9.3LNOs8H02XHn_K6rIlvJ0Hqahz2yqsDoXGHYfMqYsePWhddBSaS5RsqrmiyEegLkMmTbOZvIB27sM7RqY7NtBg
    - type: f1
      value: 0.8587272727272727
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjViMGE5M2E5NGU1NzdhZWI3NjVhMDg0NGJmYjdmYmFjNTE5MDBlMzFkODkxNWI0Y2YyNjAyYjg4ZjYyYTg5NSIsInZlcnNpb24iOjF9.G6RqyUqtuccg7fRYp1x50oUn9U6-Etw3MvZdLzayPXJu3b6N6X7SRM88AvAUtGpyxX47yE3AZZYBRgImzR8OCw
    - type: f1
      value: 0.8506829426037475
      name: F1 Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGQ0YTdlN2Q3ZjQyYTk2YzYxZGE2ODg2YjJjYWE5MmY1ZjE0MjY3ZWNmOGNlODkzYzRhMWIxZTI2YjI5ZTQ2YSIsInZlcnNpb24iOjF9.oL9nHqh2ptJYTWBpAd7m0MkhqwPjhBlCRfb7qe6w0WBabOA3dKT-qBJgBFEa8Zj7kOrp9uwXgrqRO27mfc-gCg
    - type: loss
      value: 0.9798759818077087
      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. -->

# distilbert-base-uncased-distilled-clinc

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1259
- Accuracy: 0.9332

## 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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 318  | 0.5952          | 0.7355   |
| 0.7663        | 2.0   | 636  | 0.3130          | 0.8742   |
| 0.7663        | 3.0   | 954  | 0.2024          | 0.9206   |
| 0.3043        | 4.0   | 1272 | 0.1590          | 0.9235   |
| 0.181         | 5.0   | 1590 | 0.1378          | 0.9303   |
| 0.181         | 6.0   | 1908 | 0.1287          | 0.9329   |
| 0.1468        | 7.0   | 2226 | 0.1259          | 0.9332   |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.10.2+cu102
- Datasets 1.18.3
- Tokenizers 0.11.0