Hello everyone. I trined a model using the public pre-trained wav2vec, the training and validation loss is about 0.2 but the WER keeps on 0.8 or even higher. Is there any reasons or solutions on that？ Thanks.
", "messages": [ { "id": "2458256", "postDate": "09/27/2023 13:11:49", "content": "Hello everyone. I trined a model using the public pre-trained wav2vec, the training and validation loss is about 0.2 but the WER keeps on 0.8 or even higher. Is there any reasons or solutions on that？ Thanks.
", "rawMarkdown": "Hello everyone. I trined a model using the public pre-trained wav2vec, the training and validation loss is about 0.2 but the WER keeps on 0.8 or even higher. Is there any reasons or solutions on that？ Thanks.", "votes": null }, { "id": "2458399", "postDate": "09/27/2023 15:04:43", "content": "For supplementary information. The dataset I am using is from here and the pre-trained model I am using is from here.
\nAnd also, this is how I preprocess the data.
Hi @gehrmanyu, I also tried tuning wav2vec on same dataset, the more data I use to train from that dataset, model performance on lb kept worsening.
", "rawMarkdown": "Hi @gehrmanyu, I also tried tuning wav2vec on same dataset, the more data I use to train from that dataset, model performance on lb kept worsening.", "votes": null }, { "id": "2458474", "postDate": "09/27/2023 15:52:28", "content": "I also tried incorporating 5gram bin created from competition dataset
", "rawMarkdown": "I also tried incorporating 5gram bin created from competition dataset", "votes": null }, { "id": "2458548", "postDate": "09/27/2023 16:53:31", "content": "Yes this is excatly whay I am stuck at. I expected to use different datasets rather than the official dataset, which says there exist some problems in this post. But it dosen't work. I managed to increase the epoches but it didn't do any good. And now I am running out of ideas.
", "rawMarkdown": "Yes this is excatly whay I am stuck at. I expected to use different datasets rather than the official dataset, which says there exist some problems in [this post](https://www.kaggle.com/competitions/bengaliai-speech/discussion/435300). But it dosen't work. I managed to increase the epoches but it didn't do any good. And now I am running out of ideas.", "votes": null }, { "id": "2459032", "postDate": "09/28/2023 02:28:35", "content": "That dataset is good, so it's probably your training parameter. I don't think increasing epoch is the answer.
\nTry to compare it with this : https://www.kaggle.com/code/mbmmurad/lb-0-49-wav2vec2-baseline-train-and-infer?scriptVersionId=139805745
\nYou may check if your wer calculation is ok
Thanks for the reply. Actually I just submit my model without my own WER calculation because it will make training way too slower. I will refer to this notebook to see if training parameters should be replaced.
", "rawMarkdown": "Thanks for the reply. Actually I just submit my model without my own WER calculation because it will make training way too slower. I will refer to this notebook to see if training parameters should be replaced.", "votes": null } ], "comments": [ { "id": 2458399, "author_name": "gehrmanyu", "author_url": "", "post_date": "09/27/2023 15:04:43", "content": "For supplementary information. The dataset I am using is from here and the pre-trained model I am using is from here.
\nAnd also, this is how I preprocess the data.
Hi @gehrmanyu, I also tried tuning wav2vec on same dataset, the more data I use to train from that dataset, model performance on lb kept worsening.
", "votes": null, "replies": [ { "id": 2458474, "author_name": "anilreddyvv", "author_url": "", "post_date": "09/27/2023 15:52:28", "content": "I also tried incorporating 5gram bin created from competition dataset
", "votes": null, "replies": [ { "id": 2458548, "author_name": "gehrmanyu", "author_url": "", "post_date": "09/27/2023 16:53:31", "content": "Yes this is excatly whay I am stuck at. I expected to use different datasets rather than the official dataset, which says there exist some problems in this post. But it dosen't work. I managed to increase the epoches but it didn't do any good. And now I am running out of ideas.
", "votes": null, "replies": [ { "id": 2459032, "author_name": "nyleve", "author_url": "", "post_date": "09/28/2023 02:28:35", "content": "That dataset is good, so it's probably your training parameter. I don't think increasing epoch is the answer.
\nTry to compare it with this : https://www.kaggle.com/code/mbmmurad/lb-0-49-wav2vec2-baseline-train-and-infer?scriptVersionId=139805745
\nYou may check if your wer calculation is ok
Thanks for the reply. Actually I just submit my model without my own WER calculation because it will make training way too slower. I will refer to this notebook to see if training parameters should be replaced.
", "votes": null, "replies": [] } ] } ] } ] } ] } ], "raw_markdown_by_id": { "2458256": "Hello everyone. I trined a model using the public pre-trained wav2vec, the training and validation loss is about 0.2 but the WER keeps on 0.8 or even higher. Is there any reasons or solutions on that？ Thanks.", "2458399": "For supplementary information. The dataset I am using is from [here](https://www.kaggle.com/datasets/umongsain/common-voice-13-bengali-normalized) and the pre-trained model I am using is from [here](https://www.kaggle.com/datasets/nischaydnk/bengali-wav2vec2-finetuned). \nAnd also, this is [how](https://www.kaggle.com/gehrmanyu/bengaliai-datapreprocessing) I preprocess the data.", "2458472": "Hi @gehrmanyu, I also tried tuning wav2vec on same dataset, the more data I use to train from that dataset, model performance on lb kept worsening.", "2458474": "I also tried incorporating 5gram bin created from competition dataset", "2458548": "Yes this is excatly whay I am stuck at. I expected to use different datasets rather than the official dataset, which says there exist some problems in [this post](https://www.kaggle.com/competitions/bengaliai-speech/discussion/435300). But it dosen't work. I managed to increase the epoches but it didn't do any good. And now I am running out of ideas.", "2459032": "That dataset is good, so it's probably your training parameter. I don't think increasing epoch is the answer.\nTry to compare it with this : https://www.kaggle.com/code/mbmmurad/lb-0-49-wav2vec2-baseline-train-and-infer?scriptVersionId=139805745\nYou may check if your wer calculation is ok", "2459034": "Thanks for the reply. Actually I just submit my model without my own WER calculation because it will make training way too slower. I will refer to this notebook to see if training parameters should be replaced." }, "source": "meta" }