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091_train_3-2_3B_lora_sft_003
gulaschnascher4000/091_train_3-2_3B_lora_sft_003
091_train_3-2_3B_lora_sft_003 is a machine learning model from gulaschnascher4000. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Aug 10, 2025
- Updated
- Aug 10, 2025
- SHA
- 0563f5d5
Base models
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. -->
091_train_3-2_3B_lora_sft_003
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the german_alpaca_under_512_tokens_001, the identity-chatgulaschpt, the german_alpaca_under_512_tokens_002 and the alpaca_under_512_tokens datasets. It achieves the following results on the evaluation set:
- Loss: 1.8359
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: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3671 | 0.1595 | 100 | 2.5773 |
| 1.4539 | 0.3190 | 200 | 2.3549 |
| 1.4112 | 0.4785 | 300 | 2.3948 |
| 1.3296 | 0.6380 | 400 | 2.2991 |
| 1.3561 | 0.7974 | 500 | 2.2534 |
| 1.2712 | 0.9569 | 600 | 2.1885 |
| 1.1332 | 1.1164 | 700 | 2.1567 |
| 1.2149 | 1.2759 | 800 | 2.1424 |
| 1.1982 | 1.4354 | 900 | 2.0592 |
| 1.161 | 1.5949 | 1000 | 2.0637 |
| 1.1154 | 1.7544 | 1100 | 1.9346 |
| 1.1121 | 1.9139 | 1200 | 1.9293 |
| 1.0087 | 2.0734 | 1300 | 1.9061 |
| 0.948 | 2.2329 | 1400 | 1.8543 |
| 0.9588 | 2.3923 | 1500 | 1.8512 |
| 1.0303 | 2.5518 | 1600 | 1.8442 |
| 1.0075 | 2.7113 | 1700 | 1.8368 |
| 0.9631 | 2.8708 | 1800 | 1.8350 |
Framework versions
- PEFT 0.15.2
- Transformers 4.55.0
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- other
- Created
- Aug 10, 2025
- Updated
- Aug 10, 2025