
## deberta-v3-large-snli_mnli_fever_anli_R1_R2_R3-nli

#### Datasets
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
snli-v1.0 | anli-1.0-r1 | anli-1.0-r2 | anli-1.0-r3
-----------|-------------|-------------|------------
0.929 | 0.775 | 0.636 | 0.612
{"language": ["en"], "tags": ["text-classification"], "datasets": ["snli-1.0", "multi-nli-1.0", "nli-fever", "anli-v1.0"], "metrics": ["accuracy"], "widget": [{"text": "British mountaineer Alison Hargreaves becomes the first woman to climb Mount Everest alone and without oxygen tanks. [SEP] Alison is a female."}, {"text": "Mr Lopez Obrador has alleged electoral fraud cost him the presidency, despite a recount confirming Felipe Calderon as Mexico's president-elect. [SEP] Mr Lopez Obrador was born in mexico."}]}
transformers pytorch deberta-v2 text-classification en dataset:snli-1.0 dataset:multi-nli-1.0 dataset:nli-fever dataset:anli-v1.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #deberta-v2 #text-classification #en #dataset-snli-1.0 #dataset-multi-nli-1.0 #dataset-nli-fever #dataset-anli-v1.0 #autotrain_compatible #endpoints_compatible #region-us 

deberta-v3-large-snli\_mnli\_fever\_anli\_R1\_R2\_R3-nli
--------------------------------------------------------


#### Datasets


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: URL


#### Hyperparameters


learning\_rate: 1e-5  

max\_length: 156  

batch\_size: 16  

warmup\_ratio: 0.1  

weight\_decay: 0.0  

num\_epochs: 2


#### Dev results



#### Test results




#### Datasets


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: URL #### Hyperparameters


learning\_rate: 1e-5  

max\_length: 156  

batch\_size: 16  

warmup\_ratio: 0.1  

weight\_decay: 0.0  

num\_epochs: 2 #### Dev results #### Test results
TAGS
#transformers #pytorch #deberta-v2 #text-classification #en #dataset-snli-1.0 #dataset-multi-nli-1.0 #dataset-nli-fever #dataset-anli-v1.0 #autotrain_compatible #endpoints_compatible #region-us 
 #### Datasets


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: URL #### Hyperparameters


learning\_rate: 1e-5  

max\_length: 156  

batch\_size: 16  

warmup\_ratio: 0.1  

weight\_decay: 0.0  

num\_epochs: 2 #### Dev results #### Test results
passage: TAGS
#transformers #pytorch #deberta-v2 #text-classification #en #dataset-snli-1.0 #dataset-multi-nli-1.0 #dataset-nli-fever #dataset-anli-v1.0 #autotrain_compatible #endpoints_compatible #region-us 
#### Datasets


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: URL#### Hyperparameters


learning\_rate: 1e-5  

max\_length: 156  

batch\_size: 16  

warmup\_ratio: 0.1  

weight\_decay: 0.0  

num\_epochs: 2#### Dev results#### Test results