transformers pytorch tensorboard distilbert text-classification generated_from_trainer en dataset:glue license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- glue
language:
- en
license: apache-2.0
metrics:
- accuracy
- f1
tags:
- generated_from_trainer
model-index:
- name: distilbert_sa_GLUE_Experiment_data_aug_mrpc_192
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: GLUE MRPC
      type: glue
      args: mrpc
    metrics:
    - type: accuracy
      value: 1.0
      name: Accuracy
    - type: f1
      value: 1.0
      name: F1
---

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# distilbert_sa_GLUE_Experiment_data_aug_mrpc_192

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the GLUE MRPC dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
- F1: 1.0
- Combined Score: 1.0

## 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: 5e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Combined Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
| 0.2446        | 1.0   | 980   | 0.0556          | 0.9877   | 0.9911 | 0.9894         |
| 0.0516        | 2.0   | 1960  | 0.0106          | 0.9951   | 0.9964 | 0.9958         |
| 0.0236        | 3.0   | 2940  | 0.0011          | 1.0      | 1.0    | 1.0            |
| 0.0149        | 4.0   | 3920  | 0.0010          | 1.0      | 1.0    | 1.0            |
| 0.0102        | 5.0   | 4900  | 0.0003          | 1.0      | 1.0    | 1.0            |
| 0.0067        | 6.0   | 5880  | 0.0002          | 1.0      | 1.0    | 1.0            |
| 0.005         | 7.0   | 6860  | 0.0001          | 1.0      | 1.0    | 1.0            |
| 0.0042        | 8.0   | 7840  | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0034        | 9.0   | 8820  | 0.0001          | 1.0      | 1.0    | 1.0            |
| 0.0025        | 10.0  | 9800  | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0024        | 11.0  | 10780 | 0.0001          | 1.0      | 1.0    | 1.0            |
| 0.0026        | 12.0  | 11760 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0019        | 13.0  | 12740 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0014        | 14.0  | 13720 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0013        | 15.0  | 14700 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0014        | 16.0  | 15680 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0012        | 17.0  | 16660 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0009        | 18.0  | 17640 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0007        | 19.0  | 18620 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0008        | 20.0  | 19600 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0008        | 21.0  | 20580 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0006        | 22.0  | 21560 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0007        | 23.0  | 22540 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0003        | 24.0  | 23520 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0005        | 25.0  | 24500 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0005        | 26.0  | 25480 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0003        | 27.0  | 26460 | 0.0001          | 1.0      | 1.0    | 1.0            |
| 0.0002        | 28.0  | 27440 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0003        | 29.0  | 28420 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0003        | 30.0  | 29400 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0001        | 31.0  | 30380 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0004        | 32.0  | 31360 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0003        | 33.0  | 32340 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0001        | 34.0  | 33320 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0001        | 35.0  | 34300 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0001        | 36.0  | 35280 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0002        | 37.0  | 36260 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0001        | 38.0  | 37240 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0002        | 39.0  | 38220 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0001        | 40.0  | 39200 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0           | 41.0  | 40180 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0           | 42.0  | 41160 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0001        | 43.0  | 42140 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0           | 44.0  | 43120 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0           | 45.0  | 44100 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0           | 46.0  | 45080 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0           | 47.0  | 46060 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0           | 48.0  | 47040 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0           | 49.0  | 48020 | 0.0000          | 1.0      | 1.0    | 1.0            |
| 0.0           | 50.0  | 49000 | 0.0000          | 1.0      | 1.0    | 1.0            |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2
