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:
- spearmanr
tags:
- generated_from_trainer
model-index:
- name: distilbert_add_GLUE_Experiment_stsb_192
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: GLUE STSB
      type: glue
      config: stsb
      split: validation
      args: stsb
    metrics:
    - type: spearmanr
      value: .nan
      name: Spearmanr
---

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# distilbert_add_GLUE_Experiment_stsb_192

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2659
- Pearson: nan
- Spearmanr: nan
- Combined Score: nan

## 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 | Pearson | Spearmanr | Combined Score |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 7.0456        | 1.0   | 23   | 4.3280          | nan     | nan       | nan            |
| 4.7979        | 2.0   | 46   | 3.4200          | nan     | nan       | nan            |
| 3.7359        | 3.0   | 69   | 2.7494          | nan     | nan       | nan            |
| 2.9308        | 4.0   | 92   | 2.3396          | nan     | nan       | nan            |
| 2.3776        | 5.0   | 115  | 2.2659          | nan     | nan       | nan            |
| 2.1865        | 6.0   | 138  | 2.3171          | nan     | nan       | nan            |
| 2.1731        | 7.0   | 161  | 2.3598          | nan     | nan       | nan            |
| 2.1793        | 8.0   | 184  | 2.4690          | 0.1389  | 0.1432    | 0.1410         |
| 2.1725        | 9.0   | 207  | 2.3589          | 0.0899  | 0.0808    | 0.0854         |
| 2.1621        | 10.0  | 230  | 2.3156          | 0.0853  | 0.0802    | 0.0827         |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.8.0
- Tokenizers 0.13.2
