@tjia Thanks for looking into this. Here's some small example data that you can use to test it – I don't think the data really matters – it seems to fail whatever I put in.
Save this as a JSON file and create a new Text Classifier project with default settings and the BERT algorithm. For me, the training stops immediately after the feature extraction phase with no error other than "Training stopped".
[
{
"text": "Pinus contorta",
"label": "animalsAndPlants"
},
{
"text": "Rabbit",
"label": "animalsAndPlants"
},
{
"text": "Brochoadmones",
"label": "animalsAndPlants"
},
{
"text": "Zebra",
"label": "animalsAndPlants"
},
{
"text": "Oak",
"label": "animalsAndPlants"
},
{
"text": "Campanula rotundifolia",
"label": "animalsAndPlants"
},
{
"text": "Black wood pigeon",
"label": "animalsAndPlants"
},
{
"text": "Colorado potato beetle",
"label": "animalsAndPlants"
},
{
"text": "Corvidae",
"label": "animalsAndPlants"
},
{
"text": "Honey bee",
"label": "animalsAndPlants"
},
{
"text": "Pablo Picasso",
"label": "artAndDesign"
},
{
"text": "Paul Cézanne",
"label": "artAndDesign"
},
{
"text": "Marcel Duchamp",
"label": "artAndDesign"
},
{
"text": "Proto-Cubism",
"label": "artAndDesign"
},
{
"text": "Vincent van Gogh",
"label": "artAndDesign"
},
{
"text": "Cubism",
"label": "artAndDesign"
},
{
"text": "Rococo",
"label": "artAndDesign"
},
{
"text": "Art",
"label": "artAndDesign"
},
{
"text": "Interior design",
"label": "artAndDesign"
},
{
"text": "Typography",
"label": "artAndDesign"
}
]