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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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New checkpoint: RWKV-4-Pile-3B-20221110-ctx4096.pth : Fine-tuned to ctx_len = 4096 |
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* LAMBADA ppl 5.25, acc 63.96% |
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* PIQA acc 74.16% |
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* SC2016 acc 70.71% |
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* Hellaswag acc_norm 59.89% |
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* ctx_len = 4096 n_layer = 32 n_embd = 2560 |
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Final checkpoint: RWKV-4-Pile-3B-20221008-8023.pth : Trained on the Pile for 331B tokens. |
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* Pile loss 1.9469 |
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* LAMBADA ppl 5.24, acc 63.94% |
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* PIQA acc 73.72% |
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* SC2016 acc 70.28% |
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* Hellaswag acc_norm 59.63% |
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* ctx_len = 1024 n_layer = 32 n_embd = 2560 |
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