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Runtime error
| 0%| | 0/1000 [00:00<?, ?it/s] | |
| 0%| | 0/1000 [00:00<?, ?it/s]Traceback (most recent call last): | |
| File "main.py", line 444, in <module> | |
| main() | |
| File "main.py", line 383, in main | |
| train_result = trainer.train(resume_from_checkpoint=checkpoint) | |
| File "E:\Documents\Desktop\ChatGLM-6B\ptuning\trainer.py", line 1635, in train | |
| return inner_training_loop( | |
| File "E:\Documents\Desktop\ChatGLM-6B\ptuning\trainer.py", line 1904, in _inner_training_loop | |
| tr_loss_step = self.training_step(model, inputs) | |
| File "E:\Documents\Desktop\ChatGLM-6B\ptuning\trainer.py", line 2647, in training_step | |
| loss = self.compute_loss(model, inputs) | |
| File "E:\Documents\Desktop\ChatGLM-6B\ptuning\trainer.py", line 2679, in compute_loss | |
| outputs = model(**inputs) | |
| File "D:\Program\Python38\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "C:\Users\Lenovo/.cache\huggingface\modules\transformers_modules\chatglm-6b-int4\modeling_chatglm.py", line 1191, in forward | |
| transformer_outputs = self.transformer( | |
| File "D:\Program\Python38\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "C:\Users\Lenovo/.cache\huggingface\modules\transformers_modules\chatglm-6b-int4\modeling_chatglm.py", line 986, in forward | |
| layer_ret = torch.utils.checkpoint.checkpoint( | |
| File "D:\Program\Python38\lib\site-packages\torch\utils\checkpoint.py", line 249, in checkpoint | |
| return CheckpointFunction.apply(function, preserve, *args) | |
| File "D:\Program\Python38\lib\site-packages\torch\autograd\function.py", line 506, in apply | |
| return super().apply(*args, **kwargs) # type: ignore[misc] | |
| File "D:\Program\Python38\lib\site-packages\torch\utils\checkpoint.py", line 107, in forward | |
| outputs = run_function(*args) | |
| File "D:\Program\Python38\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "C:\Users\Lenovo/.cache\huggingface\modules\transformers_modules\chatglm-6b-int4\modeling_chatglm.py", line 627, in forward | |
| attention_outputs = self.attention( | |
| File "D:\Program\Python38\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "C:\Users\Lenovo/.cache\huggingface\modules\transformers_modules\chatglm-6b-int4\modeling_chatglm.py", line 460, in forward | |
| cos, sin = self.rotary_emb(q1, seq_len=position_ids.max() + 1) | |
| File "D:\Program\Python38\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "C:\Users\Lenovo/.cache\huggingface\modules\transformers_modules\chatglm-6b-int4\modeling_chatglm.py", line 201, in forward | |
| if self.max_seq_len_cached is None or (seq_len > self.max_seq_len_cached): | |
| KeyboardInterrupt | |
| Error in sys.excepthook: | |
| Traceback (most recent call last): | |
| File "D:\Program\Python38\lib\site-packages\rich\console.py", line 1694, in print | |
| extend(render(renderable, render_options)) | |
| File "D:\Program\Python38\lib\site-packages\rich\console.py", line 1330, in render | |
| yield from self.render(render_output, _options) | |
| File "D:\Program\Python38\lib\site-packages\rich\console.py", line 1326, in render | |
| for render_output in iter_render: | |
| File "D:\Program\Python38\lib\site-packages\rich\constrain.py", line 29, in __rich_console__ | |
| yield from console.render(self.renderable, child_options) | |
| File "D:\Program\Python38\lib\site-packages\rich\console.py", line 1326, in render | |
| for render_output in iter_render: | |
| File "D:\Program\Python38\lib\site-packages\rich\panel.py", line 220, in __rich_console__ | |
| lines = console.render_lines(renderable, child_options, style=style) | |
| File "D:\Program\Python38\lib\site-packages\rich\console.py", line 1366, in render_lines | |
| lines = list( | |
| File "D:\Program\Python38\lib\site-packages\rich\segment.py", line 292, in split_and_crop_lines | |
| for segment in segments: | |
| File "D:\Program\Python38\lib\site-packages\rich\console.py", line 1326, in render | |
| for render_output in iter_render: | |
| File "D:\Program\Python38\lib\site-packages\rich\padding.py", line 97, in __rich_console__ | |
| lines = console.render_lines( | |
| File "D:\Program\Python38\lib\site-packages\rich\console.py", line 1366, in render_lines | |
| lines = list( | |
| File "D:\Program\Python38\lib\site-packages\rich\segment.py", line 292, in split_and_crop_lines | |
| for segment in segments: | |
| File "D:\Program\Python38\lib\site-packages\rich\console.py", line 1330, in render | |
| yield from self.render(render_output, _options) | |
| File "D:\Program\Python38\lib\site-packages\rich\console.py", line 1326, in render | |
| for render_output in iter_render: | |
| File "D:\Program\Python38\lib\site-packages\rich\syntax.py", line 609, in __rich_console__ | |
| segments = Segments(self._get_syntax(console, options)) | |
| File "D:\Program\Python38\lib\site-packages\rich\segment.py", line 668, in __init__ | |
| self.segments = list(segments) | |
| File "D:\Program\Python38\lib\site-packages\rich\syntax.py", line 637, in _get_syntax | |
| text = self.highlight(processed_code, self.line_range) | |
| File "D:\Program\Python38\lib\site-packages\rich\syntax.py", line 509, in highlight | |
| text.append_tokens(tokens_to_spans()) | |
| File "D:\Program\Python38\lib\site-packages\rich\text.py", line 995, in append_tokens | |
| for content, style in tokens: | |
| File "D:\Program\Python38\lib\site-packages\rich\syntax.py", line 497, in tokens_to_spans | |
| _token_type, token = next(tokens) | |
| File "D:\Program\Python38\lib\site-packages\rich\syntax.py", line 484, in line_tokenize | |
| for token_type, token in lexer.get_tokens(code): | |
| File "D:\Program\Python38\lib\site-packages\pygments\lexer.py", line 190, in streamer | |
| for _, t, v in self.get_tokens_unprocessed(text): | |
| File "D:\Program\Python38\lib\site-packages\pygments\lexer.py", line 632, in get_tokens_unprocessed | |
| m = rexmatch(text, pos) | |
| KeyboardInterrupt | |
| Original exception was: | |
| Traceback (most recent call last): | |
| File "main.py", line 444, in <module> | |
| main() | |
| File "main.py", line 383, in main | |
| train_result = trainer.train(resume_from_checkpoint=checkpoint) | |
| File "E:\Documents\Desktop\ChatGLM-6B\ptuning\trainer.py", line 1635, in train | |
| return inner_training_loop( | |
| File "E:\Documents\Desktop\ChatGLM-6B\ptuning\trainer.py", line 1904, in _inner_training_loop | |
| tr_loss_step = self.training_step(model, inputs) | |
| File "E:\Documents\Desktop\ChatGLM-6B\ptuning\trainer.py", line 2647, in training_step | |
| loss = self.compute_loss(model, inputs) | |
| File "E:\Documents\Desktop\ChatGLM-6B\ptuning\trainer.py", line 2679, in compute_loss | |
| outputs = model(**inputs) | |
| File "D:\Program\Python38\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "C:\Users\Lenovo/.cache\huggingface\modules\transformers_modules\chatglm-6b-int4\modeling_chatglm.py", line 1191, in forward | |
| transformer_outputs = self.transformer( | |
| File "D:\Program\Python38\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "C:\Users\Lenovo/.cache\huggingface\modules\transformers_modules\chatglm-6b-int4\modeling_chatglm.py", line 986, in forward | |
| layer_ret = torch.utils.checkpoint.checkpoint( | |
| File "D:\Program\Python38\lib\site-packages\torch\utils\checkpoint.py", line 249, in checkpoint | |
| return CheckpointFunction.apply(function, preserve, *args) | |
| File "D:\Program\Python38\lib\site-packages\torch\autograd\function.py", line 506, in apply | |
| return super().apply(*args, **kwargs) # type: ignore[misc] | |
| File "D:\Program\Python38\lib\site-packages\torch\utils\checkpoint.py", line 107, in forward | |
| outputs = run_function(*args) | |
| File "D:\Program\Python38\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "C:\Users\Lenovo/.cache\huggingface\modules\transformers_modules\chatglm-6b-int4\modeling_chatglm.py", line 627, in forward | |
| attention_outputs = self.attention( | |
| File "D:\Program\Python38\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "C:\Users\Lenovo/.cache\huggingface\modules\transformers_modules\chatglm-6b-int4\modeling_chatglm.py", line 460, in forward | |
| cos, sin = self.rotary_emb(q1, seq_len=position_ids.max() + 1) | |
| File "D:\Program\Python38\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl | |
| return forward_call(*args, **kwargs) | |
| File "C:\Users\Lenovo/.cache\huggingface\modules\transformers_modules\chatglm-6b-int4\modeling_chatglm.py", line 201, in forward | |
| if self.max_seq_len_cached is None or (seq_len > self.max_seq_len_cached): | |
| KeyboardInterrupt |