|
--- |
|
language: |
|
- en |
|
tags: |
|
- pytorch |
|
- text-generation |
|
- causal-lm |
|
- rwkv |
|
license: apache-2.0 |
|
datasets: |
|
- the_pile |
|
|
|
--- |
|
|
|
# RWKV-4 169M |
|
|
|
# Use RWKV-4 models (NOT RWKV-4a, NOT RWKV-4b) unless you know what you are doing. |
|
# Use RWKV-4 models (NOT RWKV-4a, NOT RWKV-4b) unless you know what you are doing. |
|
# Use RWKV-4 models (NOT RWKV-4a, NOT RWKV-4b) unless you know what you are doing. |
|
|
|
## Model Description |
|
|
|
RWKV-4 169M is a L12-D768 causal language model trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details. |
|
|
|
Use https://github.com/BlinkDL/ChatRWKV to run it. |
|
|
|
ctx_len = 1024 |
|
n_layer = 12 |
|
n_embd = 768 |
|
|
|
Final checkpoint: |
|
RWKV-4-Pile-169M-20220807-8023.pth : Trained on the Pile for 332B tokens. |
|
* Pile loss 2.5355 |
|
* LAMBADA ppl 29.33, acc 32.99% |
|
* PIQA acc 65.07% |
|
* SC2016 acc 58.79% |
|
* Hellaswag acc_norm 32.26% |
|
|
|
With tiny attention (--tiny_att_dim 256 --tiny_att_layer 9): |
|
RWKV-4a-Pile-170M-20221209-7955.pth |
|
* Pile loss 2.4702 |
|
* LAMBADA ppl 21.42, acc 38.23% |
|
* PIQA acc 63.76% |
|
* SC2016 acc 59.06% |
|
* Hellaswag acc_norm 32.40% |
|
|
|
RWKV-4b-Pile-171M-20230202-7922.pth (--my_testing 'a') |
|
* Pile loss 2.4222 |
|
* LAMBADA ppl 22.02, acc 38.56% |
|
* PIQA acc 64.04% |
|
* SC2016 acc 59.91% |
|
* Hellaswag acc_norm 33.33% |
|
|
