# deberta

**Repository Path**: holazzer/deberta

## Basic Information

- **Project Name**: deberta
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2022-04-09
- **Last Updated**: 2022-04-10

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## 分类结果对比

模型: `microsoft/deberta-xlarge-mnli`

### transformer results
```python
["The Old One always comforted Ca'daan, except today.",
 "Ca'daan knew the Old One very well."]
SequenceClassifierOutput(loss=None, logits=tensor([[-2.9199,  2.9344,  0.1211]],
grad_fn=<AddmmBackward>), hidden_states=None, attentions=None)

['Your gift is appreciated by each and every student who will benefit from your generosity.',
 'Hundreds of students will benefit from your generosity.']
SequenceClassifierOutput(loss=None, logits=tensor([[-3.2119,  3.4292, -0.2982]],
grad_fn=<AddmmBackward>), hidden_states=None, attentions=None)

['At the other end of Pennsylvania Avenue, people began to line up for a White House tour.',
 'People formed a line at the end of Pennsylvania Avenue.']
SequenceClassifierOutput(loss=None, logits=tensor([[-3.0864, -0.7420,  3.8967]],
grad_fn=<AddmmBackward>), hidden_states=None, attentions=None)
```

### paddle results

```python
Tensor(shape=[1, 3], dtype=float32, place=CPUPlace, stop_gradient=False,
       [[-2.91994166,  2.93442702,  0.12114432]])
Tensor(shape=[1, 3], dtype=float32, place=CPUPlace, stop_gradient=False,
       [[-3.21190572,  3.42924452, -0.29815635]])
Tensor(shape=[1, 3], dtype=float32, place=CPUPlace, stop_gradient=False,
       [[-3.08641791, -0.74200279,  3.89673424]])
```