throw error

gistfile1.txt

INFO:     192.168.31.144:52267 - "POST /sentence_classification HTTP/1.1" 500 Internal Server Error
ERROR:    Exception in ASGI application
Traceback (most recent call last):
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/uvicorn/protocols/http/httptools_impl.py", line 401, in run_asgi
    result = await app(self.scope, self.receive, self.send)
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/uvicorn/middleware/proxy_headers.py", line 78, in __call__
    return await self.app(scope, receive, send)
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/fastapi/applications.py", line 269, in __call__
    await super().__call__(scope, receive, send)
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/starlette/applications.py", line 124, in __call__
    await self.middleware_stack(scope, receive, send)
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/starlette/middleware/errors.py", line 184, in __call__
    raise exc
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/starlette/middleware/errors.py", line 162, in __call__
    await self.app(scope, receive, _send)
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/starlette/middleware/cors.py", line 84, in __call__
    await self.app(scope, receive, send)
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/starlette/exceptions.py", line 93, in __call__
    raise exc
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/starlette/exceptions.py", line 82, in __call__
    await self.app(scope, receive, sender)
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/fastapi/middleware/asyncexitstack.py", line 21, in __call__
    raise e
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/fastapi/middleware/asyncexitstack.py", line 18, in __call__
    await self.app(scope, receive, send)
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/starlette/routing.py", line 670, in __call__
    await route.handle(scope, receive, send)
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/starlette/routing.py", line 266, in handle
    await self.app(scope, receive, send)
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/starlette/routing.py", line 65, in app
    response = await func(request)
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/fastapi/routing.py", line 227, in app
    raw_response = await run_endpoint_function(
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/fastapi/routing.py", line 160, in run_endpoint_function
    return await dependant.call(**values)
  File "/home/labelray/Code/NLP_server/./main.py", line 56, in post_sentence_classification
    return NLP_methods.sentence_classification.SentenceClassifier(train, eval).pipe()
  File "/home/labelray/Code/NLP_server/./NLP_methods/sentence_classification.py", line 15, in __init__
    self.model = transformers.TFRobertaForSequenceClassification.from_pretrained('./.cache/roberta-base')
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/transformers/modeling_tf_utils.py", line 1979, in from_pretrained
    model(model.dummy_inputs)  # build the network with dummy inputs
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/keras/utils/traceback_utils.py", line 67, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/transformers/modeling_tf_utils.py", line 389, in run_call_with_unpacked_inputs
    return func(self, **unpacked_inputs)
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/transformers/models/roberta/modeling_tf_roberta.py", line 1359, in call
    outputs = self.roberta(
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/transformers/modeling_tf_utils.py", line 389, in run_call_with_unpacked_inputs
    return func(self, **unpacked_inputs)
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/transformers/models/roberta/modeling_tf_roberta.py", line 737, in call
    encoder_outputs = self.encoder(
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/transformers/models/roberta/modeling_tf_roberta.py", line 534, in call
    layer_outputs = layer_module(
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/transformers/models/roberta/modeling_tf_roberta.py", line 443, in call
    self_attention_outputs = self.attention(
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/transformers/models/roberta/modeling_tf_roberta.py", line 356, in call
    self_outputs = self.self_attention(
  File "/home/labelray/Code/NLP_server/venv/lib/python3.10/site-packages/transformers/models/roberta/modeling_tf_roberta.py", line 245, in call
    mixed_query_layer = self.query(inputs=hidden_states)
tensorflow.python.framework.errors_impl.InternalError: Exception encountered when calling layer "query" (type Dense).

Failed initializing math mode [Op:MatMul]

Call arguments received by layer "query" (type Dense):
  • inputs=tf.Tensor(shape=(3, 5, 768), dtype=float32)