|
|
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 |
|
|
|
753723694b
|
Added some comments and readability
|
2026-03-24 18:11:31 +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 |
|
|
|
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 |
|
|
|
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 |
|
