huggingface / huggingface/blog
Unable to recreate Timit dataset results using wav2vec pretrained model
- Dominant language
- Jupyter Notebook
- Stars
- 3.5k
- Forks
- 1k
- Avg merge
- 1d 20h
- Merged PRs (30d)
- 19
Description
Hi,
I am unable to recreate the results reported in your blogpost https://huggingface.co/blog/fine-tune-wav2vec2-english on the timit dataset. I just ran the notebook as it is on google-colab, but got very different results. I am attaching a screenshot of the training and validation results. The results are completely different from the ones reported in the blog post. Can u please let m know the issue here? and how we can recreate the results?
Thanks
Contributor guide
No contributing guide indexed for this repository
Research direction
Open the linked wav2vec2 English fine-tuning blog notebook in Google Colab and compare its training and validation output with the attached screenshot. Determine why the TIMIT results diverge and document the steps or environment needed to reproduce the blog-post results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- documentation, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100