
# Pretrained checkpoint: facebook/bart-large-mnli
# Traning hyperparameters:
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 24
- eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

# Training results

|Epoch | Train loss| Subtask 3 f1 | Subtask 3 precision | Subtask 3 recall | Subtask4 accuracy |
|:----:|:---------:|:------------:|:-------------------:|:----------------:|:-----------------:|
|1|317.0372867549886|0.9007858546168959|0.9070227497527201|0.8946341463414634|0.8673170731707317|
|2|133.277006254546|0.9203364670954973|0.9337349397590361|0.9073170731707317|0.8741463414634146|
|3|49.748294037497544|0.9251968503937008|0.9334657398212513|0.9170731707317074|0.8887804878048781|



{}
transformers pytorch bart text-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bart #text-classification #autotrain_compatible #endpoints_compatible #region-us 

Pretrained checkpoint: facebook/bart-large-mnli
===============================================


Traning hyperparameters:
========================


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 24
* eval\_batch\_size: 24
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3


Training results
================




TAGS
#transformers #pytorch #bart #text-classification #autotrain_compatible #endpoints_compatible #region-us 
