I'm getting an f1 score of zero.

[ilaouirine]

I'm getting an f1 score of zero.

[GanjinZero]

With only sampled data, there is too little signal for the model to learn. You may try the GENIA dataset which has public data to reproduce our result.

[ilaouirine]

Ok thank you!

[ilaouirine]

Hello,
I am trying now to work on my own dataset, however I dindn't know how to set the padding_idx and the dim.
this two parameters : word_embedding_config['padding_idx'] and word_embedding_config['dim']

Thank you!

[GanjinZero]

use word_embed.py on your dataset, and you will obtain your word2id.json, you can check padding_idx here. And word embedding dim is depend on which word embedding you used.

[ilaouirine]

Thank you very much for your assistance.
Actually, I tried to start the training on my own dataset, but I am getting this error :

Strangely, this error only occurs when I attempt to train the model using the entire dataset. When I experimented with a subset of the same dataset, the training process proceeded without any errors. However, I noticed that despite successful training, the resulting F1 score was consistently 0.

I would be grateful if you could help me understand the cause of this error and why the F1 score remains at 0 when training with the subset. Any insights or suggestions you can provide to troubleshoot this issue would be highly appreciated.

Thank you once again for your invaluable support.

[ilaouirine]

Is there a limit for the dataset size?

[GanjinZero]

There is not a limit for a dataset, your error may be due to a empty sentence or a empty word in any sentence.
For F1 score, I have no idea. I remember my model will output predicitions every epoch, you should check it first.

[ilaouirine]

Thank you for your response!
I will check if there are empty sentences!
Concerning the predictions, this is what I found :
For the first epochs I have : 2,11 UNIT|13,14 UNIT|0,8
And for the last epochs, I have empty files.

[GanjinZero]

You should use this framework with more samples to get normal results.

[ilaouirine]

Thank you very much for your assistance!
The error is fixed, but I am having a CUDA Out Of Memory issue even with a batch size of 1.
Is there any solution for this without changing the GPU that I'm using?
Thank you!

[GanjinZero]

What is your GPU memory?
You should use small LM (i.e. roberta-base) and small triaffine-dimension to 128/96/64