Scripts for text classification with llama and bert
active 2024-07-12 → 2026-01-29 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 567 days from 2024-07-12 to 2026-01-29. Pushes: 10 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 15 total, peak 2 in a day. Comments: 18 total, peak 3 in a day. Stars: 21 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| timothelaborie | 26 | 9 | 0 | 12 |
| DoomsdayDC | 3 | 0 | 0 | 1 |
| vjagannath786 | 3 | 0 | 0 | 1 |
| code-chendl | 2 | 0 | 0 | 1 |
| magnusdtd | 2 | 0 | 0 | 1 |
| creme332 | 1 | 0 | 0 | 0 |
| whyiug | 1 | 0 | 0 | 0 |
| codingmakesmad | 1 | 0 | 0 | 0 |
| TushaarGVS | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#17magnusdtd2025-09-19 12:37RuntimeError: Boolean value of Tensor with more than one value is ambiguous
- Issue comment#17magnusdtd2025-09-19 12:37RuntimeError: Boolean value of Tensor with more than one value is ambiguous
- Issue comment#15timothelaborie2025-08-02 17:13NotImplementedError: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device.
- Issue comment#15code-chendl2025-08-02 12:34NotImplementedError: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device.
- Issue#15code-chendl2025-07-29 15:17'Linear' object has no attribute 'modules_to_save'
- Issue comment#14timothelaborie2025-07-23 19:45Increasing max_seq_length does not increase the sequence length
- Issue comment#13kkailaasa2025-07-20 12:23AssertionError: Backwards requires embeddings to be bf16 or fp16
- Issue comment#13timothelaborie2025-07-11 13:58AssertionError: Backwards requires embeddings to be bf16 or fp16
- Issue comment#13timothelaborie2025-07-11 13:06AssertionError: Backwards requires embeddings to be bf16 or fp16
- Issue#13creme3322025-07-11 12:45AssertionError: Backwards requires embeddings to be bf16 or fp16
- Issue comment#12timothelaborie2025-05-30 07:02'NoneType' object has no attribute 'attn_bias'
- Issue#12codingmakesmad2025-05-30 00:37'NoneType' object has no attribute 'attn_bias'
- Issue#10timothelaborie2025-05-17 15:40trainer.train() KeyError: 20211
- Issue#11whyiug2025-05-16 02:56Will the model load bias correctly the next time?
- Issue#4timothelaborie2025-05-04 08:51size mismatch for base_model.model.lm_head.modules_to_save.default.weight
- Issue comment#6timothelaborie2025-05-04 08:51missing Modefile when save_pretrained_gguf
- Issue comment#7timothelaborie2025-05-04 08:48Colab code gets ~98 accuracy whereas local gets ~43
- Issue comment#9timothelaborie2025-05-04 08:48Cannot load fine-tuned model for inference
- Issue#5DoomsdayDC2025-01-07 06:38trainer_stats = trainer.train() meet problem AssertionError: First input (fp16) and second input (fp32) must have the same dtype! The above exception was the direct cause of the following exception:
- Issue comment#5DoomsdayDC2025-01-07 06:38trainer_stats = trainer.train() meet problem AssertionError: First input (fp16) and second input (fp32) must have the same dtype! The above exception was the direct cause of the following exception:
- Issue comment#5timothelaborie2024-12-30 11:17trainer_stats = trainer.train() meet problem AssertionError: First input (fp16) and second input (fp32) must have the same dtype! The above exception was the direct cause of the following exception:
- Issue#5DoomsdayDC2024-12-23 02:11trainer_stats = trainer.train() meet problem AssertionError: First input (fp16) and second input (fp32) must have the same dtype! The above exception was the direct cause of the following exception:
- Issue comment#3timothelaborie2024-09-13 20:17Potential bug in getting prediction probs?
- Issue#3timothelaborie2024-09-13 20:17Potential bug in getting prediction probs?
- Issue#3TushaarGVS2024-09-13 19:48Potential bug in getting prediction probs?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 21 stars here means stars gained during the window, not the repo's star count.