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language: |
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- en |
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tags: |
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- pytorch |
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- text-generation |
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- causal-lm |
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- rwkv |
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license: apache-2.0 |
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datasets: |
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- The Pile |
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--- |
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# RWKV-4 3B |
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## Model Description |
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RWKV-4 3B is a L32-D2560 causal language model trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details. |
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** Note: It's a BF16 model, and it may overflow if you are using FP16 (probably fixable by rescaling the weights). ** |
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At this moment you have to use my Github code (https://github.com/BlinkDL/RWKV-LM) to run it. |
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ctx_len = 1024 |
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n_layer = 32 |
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n_embd = 2560 |
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Preview checkpoint: RWKV-4-Pile-3B-20220921-3047.pth : Trained on the Pile for 125B tokens. |
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* Pile loss 2.0026 |
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* LAMBADA ppl 5.72, acc 61.36% |
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* PIQA acc 73.39% |
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* SC2016 acc 68.84% |
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* Hellaswag acc_norm 56.57% |
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Preview checkpoint: RWKV-4-Pile-3B-20220915-1207.pth : Trained on the Pile for 50B tokens. |
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* Pile loss 2.0902 |
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* LAMBADA ppl 7.01, acc 57.11% |
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* PIQA acc 72.52% |
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* SC2016 acc 68.36% |
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* Hellaswag acc_norm 52.17% |
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