Downloads · 30 days
2
3% of all-time downloads
myBit-Llama2-jp-127M-2B4TLike-1024-desc-token-len
yusuke111/myBit-Llama2-jp-127M-2B4TLike-1024-desc-token-len
myBit-Llama2-jp-127M-2B4TLike-1024-desc-token-len is a text generation model from yusuke111. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
69
Public
Parameters
128M
11.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors511 MB · 99%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- bit_llama
- Access
- Public
- Created
- May 2, 2025
- Updated
- May 2, 2025
- SHA
- 4afbee1b
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
myBit-Llama2-jp-127M-2B4TLike
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.9064
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0024
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 750
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.5863 | 0.0485 | 500 | 4.1196 |
| 3.6525 | 0.0971 | 1000 | 3.4908 |
| 3.3021 | 0.1456 | 1500 | 3.2915 |
| 3.1654 | 0.1942 | 2000 | 3.1933 |
| 3.0956 | 0.2427 | 2500 | 3.1410 |
| 3.049 | 0.2913 | 3000 | 3.1199 |
| 2.9894 | 0.3398 | 3500 | 3.1277 |
| 2.9502 | 0.3884 | 4000 | 3.0834 |
| 2.9436 | 0.4369 | 4500 | 3.0831 |
| 2.922 | 0.4855 | 5000 | 3.1344 |
| 2.9031 | 0.5340 | 5500 | 3.1086 |
| 2.8728 | 0.5826 | 6000 | 3.1801 |
| 2.8516 | 0.6311 | 6500 | 3.2534 |
| 2.822 | 0.6796 | 7000 | 3.3787 |
| 2.7995 | 0.7282 | 7500 | 3.5255 |
| 2.7703 | 0.7767 | 8000 | 3.8455 |
| 2.7304 | 0.8253 | 8500 | 4.3736 |
| 2.6836 | 0.8738 | 9000 | 5.1791 |
| 2.6269 | 0.9224 | 9500 | 6.1786 |
| 2.5171 | 0.9709 | 10000 | 7.9064 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
- Task
- Text Generation
- Library
- transformers
- Type
- bit_llama
- Created
- May 2, 2025
- Updated
- May 2, 2025