---
# System prepended metadata

title: Untitled

---


{'input_ids': tensor([[ 101, 7414, 7798,  ...,  520,  136,  102],
        [ 101, 3209, 2225,  ..., 2357,  136,  102],
        [ 101, 4868, 2786,  ..., 3511,  136,  102],
        ...,
        [ 101,  704,  686,  ..., 4955, 8043,  102],
        [ 101, 1914,  961,  ..., 4158, 8043,  102],
        [ 101, 7679, 1046,  ..., 3836,  136,  102]], device='cuda:0'), 'token_type_ids': tensor([[0, 0, 0,  ..., 1, 1, 1],
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        [0, 0, 0,  ..., 1, 1, 1]], device='cuda:0'), 'attention_mask': tensor([[1, 1, 1,  ..., 1, 1, 1],
        [1, 1, 1,  ..., 1, 1, 1],
        [1, 1, 1,  ..., 1, 1, 1],
        ...,
        [1, 1, 1,  ..., 1, 1, 1],
        [1, 1, 1,  ..., 1, 1, 1],
        [1, 1, 1,  ..., 1, 1, 1]], device='cuda:0'), 'start_positions': tensor([129,  22, 109, 256, 116,  31, 206,  85,  43,  19, 198, 256,  88,  80,
        256, 256, 256, 256, 200,  40, 256, 256, 256,  46, 147, 256, 153,  22,
        256,   0,  46,  27], device='cuda:0'), 'end_positions': tensor([131,  28, 113, 256, 119,  35, 211,  91,  50,  21, 200, 256,  91,  84,
        256, 256, 256, 256, 208,  44, 256, 256, 256,  51, 151, 256, 156,  43,
        256,   5,  49,  29], device='cuda:0')}
        
        
        
QuestionAnsweringModelOutput(loss=tensor(5.5453, device='cuda:0', grad_fn=<DivBackward0>), start_logits=tensor([[-0.4229, -0.4230, -0.4232,  ..., -0.4227, -0.4227, -0.4229],
        [-0.4082, -0.4082, -0.4084,  ..., -0.4081, -0.4080, -0.4082],
        [-0.4131, -0.4133, -0.4131,  ..., -0.4130, -0.4129, -0.4130],
        ...,
        [-0.4040, -0.4041, -0.4042,  ..., -0.4039, -0.4037, -0.4039],
        [-0.4106, -0.4107, -0.4108,  ..., -0.4105, -0.4104, -0.4105],
        [-0.4109, -0.4111, -0.4114,  ..., -0.4107, -0.4107, -0.4108]],
       device='cuda:0', grad_fn=<SqueezeBackward1>), end_logits=tensor([[0.7144, 0.7139, 0.7141,  ..., 0.7149, 0.7152, 0.7148],
        [0.7109, 0.7107, 0.7109,  ..., 0.7114, 0.7118, 0.7115],
        [0.7363, 0.7362, 0.7359,  ..., 0.7368, 0.7371, 0.7369],
        ...,
        [0.7121, 0.7114, 0.7115,  ..., 0.7132, 0.7130, 0.7127],
        [0.7161, 0.7152, 0.7156,  ..., 0.7165, 0.7170, 0.7166],
        [0.7267, 0.7264, 0.7260,  ..., 0.7271, 0.7276, 0.7272]],
       device='cuda:0', grad_fn=<SqueezeBackward1>), hidden_states=None, attentions=None)
tensor(5.5453, device='cuda:0', grad_fn=<DivBackward0>)
