llama_lora_20k_alpaca_begining
This model is a fine-tuned version of mifeng09/my_final_llama_model_v2_add_wiki_fix_resume on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7591
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.1
- lr_scheduler_warmup_steps: 101
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2374 | 0.1484 | 50 | 4.0144 |
| 4.3818 | 0.2967 | 100 | 3.9270 |
| 3.944 | 0.4451 | 150 | 3.8766 |
| 3.3377 | 0.5935 | 200 | 3.8441 |
| 3.3489 | 0.7418 | 250 | 3.8238 |
| 3.5876 | 0.8902 | 300 | 3.8094 |
| 3.7506 | 1.0386 | 350 | 3.7967 |
| 3.9164 | 1.1869 | 400 | 3.7891 |
| 4.4806 | 1.3353 | 450 | 3.7829 |
| 4.078 | 1.4837 | 500 | 3.7769 |
| 3.8764 | 1.6320 | 550 | 3.7716 |
| 3.7083 | 1.7804 | 600 | 3.7681 |
| 3.5106 | 1.9288 | 650 | 3.7660 |
| 3.8436 | 2.0772 | 700 | 3.7631 |
| 3.8274 | 2.2255 | 750 | 3.7621 |
| 4.0989 | 2.3739 | 800 | 3.7603 |
| 3.7672 | 2.5223 | 850 | 3.7594 |
| 3.7825 | 2.6706 | 900 | 3.7592 |
| 3.8184 | 2.8190 | 950 | 3.7591 |
| 4.0853 | 2.9674 | 1000 | 3.7591 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.1
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