Hello.
I’m trying to create a text classifier, but during lr_find, it throws this error:
LR Finder is complete, type {learner_name}.recorder.plot() to see the graph.
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-24-d81c6bd29d71> in <module>
----> 1 learn.lr_find()
~\Anaconda3\envs\fast-ai_projetT\lib\site-packages\fastai\train.py in lr_find(learn, start_lr, end_lr, num_it, stop_div, **kwargs)
29 cb = LRFinder(learn, start_lr, end_lr, num_it, stop_div)
30 a = int(np.ceil(num_it/len(learn.data.train_dl)))
---> 31 learn.fit(a, start_lr, callbacks=[cb], **kwargs)
32
33 def to_fp16(learn:Learner, loss_scale:float=512., flat_master:bool=False)->Learner:
~\Anaconda3\envs\fast-ai_projetT\lib\site-packages\fastai\basic_train.py in fit(self, epochs, lr, wd, callbacks)
164 callbacks = [cb(self) for cb in self.callback_fns] + listify(callbacks)
165 fit(epochs, self.model, self.loss_func, opt=self.opt, data=self.data, metrics=self.metrics,
--> 166 callbacks=self.callbacks+callbacks)
167
168 def create_opt(self, lr:Floats, wd:Floats=0.)->None:
~\Anaconda3\envs\fast-ai_projetT\lib\site-packages\fastai\basic_train.py in fit(epochs, model, loss_func, opt, data, callbacks, metrics)
92 except Exception as e:
93 exception = e
---> 94 raise e
95 finally: cb_handler.on_train_end(exception)
96
~\Anaconda3\envs\fast-ai_projetT\lib\site-packages\fastai\basic_train.py in fit(epochs, model, loss_func, opt, data, callbacks, metrics)
82 for xb,yb in progress_bar(data.train_dl, parent=pbar):
83 xb, yb = cb_handler.on_batch_begin(xb, yb)
---> 84 loss = loss_batch(model, xb, yb, loss_func, opt, cb_handler)
85 if cb_handler.on_batch_end(loss): break
86
~\Anaconda3\envs\fast-ai_projetT\lib\site-packages\fastai\basic_train.py in loss_batch(model, xb, yb, loss_func, opt, cb_handler)
16 if not is_listy(xb): xb = [xb]
17 if not is_listy(yb): yb = [yb]
---> 18 out = model(*xb)
19 out = cb_handler.on_loss_begin(out)
20
~\Anaconda3\envs\fast-ai_projetT\lib\site-packages\torch\nn\modules\module.py in __call__(self, *input, **kwargs)
487 result = self._slow_forward(*input, **kwargs)
488 else:
--> 489 result = self.forward(*input, **kwargs)
490 for hook in self._forward_hooks.values():
491 hook_result = hook(self, input, result)
~\Anaconda3\envs\fast-ai_projetT\lib\site-packages\torch\nn\modules\container.py in forward(self, input)
90 def forward(self, input):
91 for module in self._modules.values():
---> 92 input = module(input)
93 return input
94
~\Anaconda3\envs\fast-ai_projetT\lib\site-packages\torch\nn\modules\module.py in __call__(self, *input, **kwargs)
487 result = self._slow_forward(*input, **kwargs)
488 else:
--> 489 result = self.forward(*input, **kwargs)
490 for hook in self._forward_hooks.values():
491 hook_result = hook(self, input, result)
~\Anaconda3\envs\fast-ai_projetT\lib\site-packages\fastai\text\models.py in forward(self, input)
168 self.reset()
169 raw_outputs, outputs = [],[]
--> 170 for i in range(0, sl, self.bptt):
171 r, o = super().forward(input[:,i: min(i+self.bptt, sl)])
172 if i>(sl-self.max_seq):
TypeError: 'str' object cannot be interpreted as an integer
and I have no idea why…
Do you ? Thanks, D.
