LABEL_0
---
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: data2vec-text-base-finetuned-stsb
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: glue
      type: glue
      args: stsb
    metrics:
    - name: Spearmanr
      type: spearmanr
      value: 0.8716633516590501
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# data2vec-text-base-finetuned-stsb

This model is a fine-tuned version of [facebook/data2vec-text-base](https://huggingface.co/facebook/data2vec-text-base) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5530
- Pearson: 0.8732
- Spearmanr: 0.8717

## 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: 7.725353773731373e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 5
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
| No log        | 1.0   | 180  | 1.0650          | 0.8102  | 0.8380    |
| No log        | 2.0   | 360  | 0.6211          | 0.8524  | 0.8497    |
| 0.9312        | 3.0   | 540  | 0.5917          | 0.8640  | 0.8642    |
| 0.9312        | 4.0   | 720  | 0.5672          | 0.8695  | 0.8686    |
| 0.9312        | 5.0   | 900  | 0.5530          | 0.8732  | 0.8717    |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
