| /tmp/tiny_train.py:237: UserWarning: Converting a tensor with requires_grad=True to a scalar may lead to unexpected behavior. |
| Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:836.) |
| total += float(l) * w |
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| 12:56:50 pushed ts_f_span.pt |
| 12:56:51 pushed log_ts_f_span.txt |
| 12:57:02 step 183100 loss=2.5665 tok=2999.9M dt=9095 |
| 12:57:12 step 183200 loss=2.5341 tok=3001.5M dt=9106 |
| 12:57:24 step 183300 loss=2.5456 tok=3003.2M dt=9117 |
| 12:57:35 step 183400 loss=2.5618 tok=3004.8M dt=9128 |
| 12:57:46 step 183500 loss=2.5483 tok=3006.5M dt=9139 |
| 12:57:56 step 183600 loss=2.5459 tok=3008.1M dt=9150 |
| 12:58:07 step 183700 loss=2.6318 tok=3009.7M dt=9161 |
| 12:58:18 step 183800 loss=2.6428 tok=3011.4M dt=9171 |
| 12:58:29 step 183900 loss=2.5842 tok=3013.0M dt=9182 |
| 12:58:41 step 184000 loss=2.5877 tok=3014.7M dt=9194 |
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