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:
- matthews_correlation
tags:
- generated_from_trainer
model-index:
- name: distilbert_sa_GLUE_Experiment_logit_kd_cola_256
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: GLUE COLA
      type: glue
      config: cola
      split: validation
      args: cola
    metrics:
    - type: matthews_correlation
      value: 0.0
      name: Matthews Correlation
---

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# distilbert_sa_GLUE_Experiment_logit_kd_cola_256

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6808
- Matthews Correlation: 0.0

## 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 | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.8053        | 1.0   | 34   | 0.6856          | 0.0                  |
| 0.7977        | 2.0   | 68   | 0.6837          | 0.0                  |
| 0.7952        | 3.0   | 102  | 0.6832          | 0.0                  |
| 0.7934        | 4.0   | 136  | 0.6852          | 0.0                  |
| 0.7703        | 5.0   | 170  | 0.6808          | 0.0                  |
| 0.7008        | 6.0   | 204  | 0.6885          | 0.0675               |
| 0.6386        | 7.0   | 238  | 0.7263          | 0.1037               |
| 0.6059        | 8.0   | 272  | 0.7450          | 0.0825               |
| 0.577         | 9.0   | 306  | 0.7559          | 0.1071               |
| 0.5531        | 10.0  | 340  | 0.7794          | 0.1048               |


### Framework versions

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