Commit Graph

26 Commits

Author SHA1 Message Date
a83cc9804a Remove pycache and add to gitignore 2026-04-13 01:48:36 +01:00
dc91b522f0 Added models, outputs, data and tensorflow runs 2026-04-13 01:47:24 +01:00
1cca27e0b8 added further documentation across all files 2026-04-05 14:19:57 +01:00
7fa67af6c0 added timestamps to infer.py and tested it 2026-04-01 02:33:47 +01:00
82e6277cc1 Inference working with cli text, csv text, just need to add timings and I am done 2026-04-01 01:28:14 +01:00
1e8ea39287 inference shouldn't need much to complete 2026-03-29 00:17:05 +00:00
0af8bff4a8 Added comments and made a start on infer.py 2026-03-28 22:31:10 +00:00
753723694b Added some comments and readability 2026-03-24 18:11:31 +00:00
afe61eaaa2 Merge branch 'main' of github.com:charlie-rasberry/6013
Merging the delete with reclass_analysis.ipynb and infer.py
2026-03-07 18:52:38 +00:00
5206e62d95 Analysis started, almost complete - compiled some excel sheets from the csv output with notes. Started infer.py, nothing major implemented yet 2026-03-07 18:51:15 +00:00
Charlie Rasberry
a8aaa077c7 Delete src/__pycache__ directory 2026-02-26 20:39:59 +00:00
cabf8aa9b5 Fixed evaluation indentation and other bugs 2026-02-26 20:39:19 +00:00
99896c0873 Added evaluation pipeline 2026-02-26 20:15:19 +00:00
96a0c45e84 Added implementation for single task roberta, using args for everything made it simple 2026-02-26 18:21:13 +00:00
01e2142276 Fixed a few issues with performance data collection and debugging output, mtl training is ready, moving on to single-task training to compare in write-up 2026-02-26 17:40:37 +00:00
4f0c54fe28 Added training loop for the MTL architecture on the original distribution 2026-02-23 16:26:48 +00:00
7bd68108d0 Implemented initial training structure, adding further logic soon including loss, stopping, optimisation and loop 2026-02-23 12:54:23 +00:00
76d9b8509b Model almost complete, need to work on loss functions soon 2026-02-20 19:17:22 +00:00
cccd91a680 Small bit of progress towards model.py, now building forward() 2026-02-20 18:18:17 +00:00
61df4e3e26 Implemented dataset.py which tokenises and returns tensors, ready to load the model now 2026-02-19 22:10:25 +00:00
19c0d4bce3 Started dataset.py, added the ReviewDataset class and implemented the __init__, __len__ and __getitem__ methods. The __getitem__ method currently just returns the review text, but will be updated to return the tokenized review as a tensor 2026-02-19 18:45:55 +00:00
19bcf2aa18 Started dataset.py, added the ReviewDataset class and implemented the __init__, __len__ and __getitem__ methods. The __getitem__ method currently just returns the review text, but will be updated to return the tokenized review as a tensor 2026-02-19 18:41:37 +00:00
0be7da2dde Finally processed the data fully and tested. Moving on to dataset.py and model.py 2026-02-19 00:44:36 +00:00
608588f023 Preprocessed tagged datasets, fixed CSV formatting issues, and added integrity checks. Also saved mappings for later inference use. 2026-02-18 22:36:58 +00:00
charlie-rasberry
b88504725d cleaned notebooks, finished datalabelling 2026-02-16 12:36:29 +00:00
charlie-rasberry
8d3dee6d30 House Cleaning 2026-01-28 16:41:27 +00:00