File size: 1,454 Bytes
1e69949 a00413c de05e65 a00413c de05e65 6a22d85 de05e65 159f598 6a22d85 d305e24 de05e65 d362496 d305e24 de05e65 d362496 d305e24 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 |
---
language:
- en
tags:
- text-classification
metrics:
- accuracy
datasets:
- snli-1.0
- multi-nli-1.0
- nli-fever
- anli-v1.0
---
## deberta-v3-large-snli_mnli_fever_anli_R1_R2_R3-nli
#### Datasets
Based on microsoft/deberta-v3-large, this model was trained on the snli-v1.0, multi-nli-1.0, nli-fever and anli-1.0-r1/anli-1.0-r2/anli-1.0-r3 datasets, with the training weights of 1,1,1,10,20,10 respectively.
The training codes are mostly referenced from: https://github.com/facebookresearch/anli
#### Hyperparameters
learning_rate: 1e-5
max_length: 156
batch_size: 16
warmup_ratio: 0.1
weight_decay: 0.0
num_epochs: 2
#### Dev results
snli-v1.0 | multi-nli-1.0-m | multi-nli-1.0-mm | anli-1.0-r1 | anli-1.0-r2 | anli-1.0-r3
----------|-----------------|------------------|-------------|-------------|------------
0.938 | 0.914 | 0.912 | 0.796 | 0.627 | 0.610
#### Test results
Results of the test sets are shown together with some other official pre-trained model checkpoints.
Model | snli-v1.0 | anli-1.0-r1 | anli-1.0-r2 | anli-1.0-r3
------|-----------|-------------|-------------|------------
ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli | - | 0.736 | 0.493 | 0.455
ynie/xlnet-large-cased-snli_mnli_fever_anli_R1_R2_R3-nli | - | 0.700 | 0.514 | 0.498
ynie/albert-xxlarge-v2-snli_mnli_fever_anli_R1_R2_R3-nli | - | 0.736 | 0.586 | 0.534
deberta-v3-large-snli_mnli_fever_anli_R1_R2_R3-nli | 0.929 | 0.775 | 0.636 | 0.612 |