You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
And I found an error prompt during the evaluation:
Token indices sequence length is longer than the specified maximum sequence length for this model (599 > 512). Running this sequence through the model will result in indexing errors
In my opinion, the accuracy should be 0.4991 as shown in the following table:
What's wrong with my operations? Is there something to do with the error I encounter?
By the way, when I use the OCR-CC checkpoints: save/finetuned/textvqa_tap_ocrcc_best.ckpt, the accuracy is 0.4934 (which should be 0.5471), and I found the same error as mentioned above.
The GPU and PyTorch version is as following:
2022-03-24T11:09:34 INFO: CUDA Device 0 is: Tesla V100-SXM2-16GB
2022-03-24T11:09:37 INFO: Torch version is: 1.4.0
Hope to get your response
Thanks
The text was updated successfully, but these errors were encountered:
The "sequence length" warning is related to the tokenizer, which we also observed and should not influence the results.
I'm not sure why is that, we use the same GPU/Pytorch setting. One random guess is the used OCR feature? As I remember a ~4% improvement by using MSOCR.
Meanwhile, please feel free to provide more guesses/observations related to this. Thanks
Dear authors:
I download the checkpoints Model checkpoints (~17G) and evaluate the model using the following code:
python tools/run.py --tasks vqa --datasets m4c_textvqa --model m4c_split --config configs/vqa/m4c_textvqa/tap_refine.yml --save_dir save/m4c_split_refine_test --run_type val --resume_file save/finetuned/textvqa_tap_base_best.ckpt
I got the following results:
And I found an error prompt during the evaluation:
In my opinion, the accuracy should be 0.4991 as shown in the following table:
What's wrong with my operations? Is there something to do with the error I encounter?
By the way, when I use the OCR-CC checkpoints: save/finetuned/textvqa_tap_ocrcc_best.ckpt, the accuracy is 0.4934 (which should be 0.5471), and I found the same error as mentioned above.
The GPU and PyTorch version is as following:
Hope to get your response
Thanks
The text was updated successfully, but these errors were encountered: