Hello ,
When I am fitting my model getting below error .
I am running ->learn.fit_one_cycle(3)
RuntimeError                              Traceback (most recent call last)
 in ()
----> 1 learn.fit_one_cycle(3)
8 frames
/usr/local/lib/python3.6/dist-packages/fastai/train.py in fit_one_cycle(learn, cyc_len, max_lr, moms, div_factor, pct_start, final_div, wd, callbacks, tot_epochs, start_epoch)
20     callbacks.append(OneCycleScheduler(learn, max_lr, moms=moms, div_factor=div_factor, pct_start=pct_start,
21                                        final_div=final_div, tot_epochs=tot_epochs, start_epoch=start_epoch))
—> 22     learn.fit(cyc_len, max_lr, wd=wd, callbacks=callbacks)
23
24 def lr_find(learn:Learner, start_lr:Floats=1e-7, end_lr:Floats=10, num_it:int=100, stop_div:bool=True, wd:float=None):
/usr/local/lib/python3.6/dist-packages/fastai/basic_train.py in fit(self, epochs, lr, wd, callbacks)
197         callbacks = [cb(self) for cb in self.callback_fns + listify(defaults.extra_callback_fns)] + listify(callbacks)
198         if defaults.extra_callbacks is not None: callbacks += defaults.extra_callbacks
–> 199         fit(epochs, self, metrics=self.metrics, callbacks=self.callbacks+callbacks)
200
201     def create_opt(self, lr:Floats, wd:Floats=0.)->None:
/usr/local/lib/python3.6/dist-packages/fastai/basic_train.py in fit(epochs, learn, callbacks, metrics)
104             if not cb_handler.skip_validate and not learn.data.empty_val:
105                 val_loss = validate(learn.model, learn.data.valid_dl, loss_func=learn.loss_func,
–> 106                                        cb_handler=cb_handler, pbar=pbar)
107             else: val_loss=None
108             if cb_handler.on_epoch_end(val_loss): break
/usr/local/lib/python3.6/dist-packages/fastai/basic_train.py in validate(model, dl, loss_func, cb_handler, pbar, average, n_batch)
61             if not is_listy(yb): yb = [yb]
62             nums.append(yb[0].shape[0])
—> 63             if cb_handler and cb_handler.on_batch_end(val_losses[-1]): break
64             if n_batch and (len(nums)>=n_batch): break
65         nums = np.array(nums, dtype=np.float32)
/usr/local/lib/python3.6/dist-packages/fastai/callback.py in on_batch_end(self, loss)
306         “Handle end of processing one batch with loss.”
307         self.state_dict[‘last_loss’] = loss
–> 308         self(‘batch_end’, call_mets = not self.state_dict[‘train’])
309         if self.state_dict[‘train’]:
310             self.state_dict[‘iteration’] += 1
/usr/local/lib/python3.6/dist-packages/fastai/callback.py in call(self, cb_name, call_mets, **kwargs)
248         “Call through to all of the CallbakHandler functions.”
249         if call_mets:
–> 250             for met in self.metrics: self._call_and_update(met, cb_name, **kwargs)
251         for cb in self.callbacks: self._call_and_update(cb, cb_name, **kwargs)
252
/usr/local/lib/python3.6/dist-packages/fastai/callback.py in _call_and_update(self, cb, cb_name, **kwargs)
239     def call_and_update(self, cb, cb_name, **kwargs)->None:
240         “Call cb_name on cb and update the inner state.”
–> 241         new = ifnone(getattr(cb, f’on{cb_name}’)(**self.state_dict, **kwargs), dict())
242         for k,v in new.items():
243             if k not in self.state_dict:
/usr/local/lib/python3.6/dist-packages/fastai/callback.py in on_batch_end(self, last_output, last_target, **kwargs)
342         if not is_listy(last_target): last_target=[last_target]
343         self.count += last_target[0].size(0)
–> 344         val = self.func(last_output, *last_target)
345         if self.world:
346             val = val.clone()
/usr/local/lib/python3.6/dist-packages/fastai/metrics.py in accuracy(input, targs)
27     input = input.argmax(dim=-1).view(n,-1)
28     targs = targs.view(n,-1)
—> 29     return (input==targs).float().mean()
30
31 def accuracy_thresh(y_pred:Tensor, y_true:Tensor, thresh:float=0.5, sigmoid:bool=True)->Rank0Tensor:
RuntimeError: Expected object of scalar type Long but got scalar type Float for argument #2 ‘other’