Comments (12)
Your providing a list in the yaml, it's expecting a string
from maia-chess.
Your providing a list in the yaml, it's expecting a string
The yaml for maia_config is in a list, so I don't get it.
from maia-chess.
Please check again, here this is the relevant line. I'm not sure which config you are using there
from maia-chess.
Please check again, here this is the relevant line. I'm not sure which config you are using there
Ah, thanks. It works now. However, when it goes through the training games, it comes back as 0 chunks total. I don't know why that happening when there's the data there.
from maia-chess.
It's not looking for the the directory to the files, did you read the comment in the yaml?
from maia-chess.
It's not looking for the the directory to the files, did you read the comment in the yaml?
I did read the comments of the YAML and followed it to the tea. Still detecting zero chunks.
from maia-chess.
Then you are putting in the wrong path, glob.glob() will produce [] when nothing is found
from maia-chess.
Then you are putting in the wrong path, glob.glob() will produce [] when nothing is found
I've replicated the same path as the final config in the configuration file, and it's still giving me no chunks.
This is literally my config file:
%YAML 1.2
---
gpu: 0
dataset:
input_train: '/trainingdata/elo_ranges/2500/train/*/*'
input_test: '/trainingdata/elo_ranges/2500/test/*/*'
training:
precision: 'half'
batch_size: 1024
num_batch_splits: 1
test_steps: 2000
train_avg_report_steps: 50
total_steps: 400000
checkpoint_steps: 10000
shuffle_size: 250000
lr_values:
- 0.1
- 0.01
- 0.001
- 0.0001
lr_boundaries:
- 80000
- 200000
- 360000
policy_loss_weight: 1.0 # weight of policy loss
value_loss_weight: 1.0 # weight of value loss
model:
filters: 64
residual_blocks: 6
se_ratio: 8
...
from maia-chess.
You're on Windows, that's almost certainly not a valid path on your OS. Where are your datafiles? The paths should point to them. The code we provide is intended for replication, it is not meant to be a turnkey run code and it just works, it's intended for other researches to replicate our work.
from maia-chess.
You're on Windows, that's almost certainly not a valid path on your OS. Where are your datafiles? The paths should point to them. The code we provide is intended for replication, it is not meant to be a turnkey run code and it just works, it's intended for other researches to replicate our work.
Ah, okay. That makes sense. I just assumed the training was similar to that of when you train Leela Chess Zero using supervised learning, which I have done before.
As for data files, I'm not sure what you mean by that.
from maia-chess.
Did you do steps 1 and 2 of the instructions? That's for generating the training data, those are converted to the training/validation data files in step 2.
from maia-chess.
Did you do steps 1 and 2 of the instructions? That's for generating the training data, those are converted to the training/validation data files in step 2.
After fiddling about for hours on Windows, trying to get it to work, I got train_maia.py working! I'm going to start training Maia to be rated at around 2500.
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Related Issues (20)
- Could this be used for cheat detection? HOT 4
- Accuracy Elaboration HOT 1
- is possible to tell maia to play a specific gambit to train? HOT 2
- is it possible to train on self-play? HOT 1
- What opening books and tablebases would you suggest? HOT 4
- Unclear instructions/ no instructions for Android HOT 4
- Hello, I am trying to implement maia-chess to my game: HOT 1
- Slow play even with "fast" and one legal move HOT 3
- Move time simulation in python chess HOT 1
- how to use the model HOT 1
- Attempt in recreating the accuracy test results of Maia's paper HOT 1
- Replication on Windows HOT 3
- tfprocess.py doesn't work with Tensorflow=>2.4 HOT 2
- BrokenPipeError: [Errno 32] Broken pipe HOT 9
- what if stretching 'min ply' parameter HOT 1
- Train for maia bellow 1100 HOT 3
- Fast command
- No output when training script is ran HOT 9
- Model Not Implemented Error
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