A61K-15950_2
This model is a fine-tuned version of /home/user/research/LLaMA-Factory/saves/LLaMA3-70B-qlora-bnb/lora/sft/A61K-15950/checkpoint-200 on the patents_A61K_cla_abs_det_sample_2100_balance_train_llama-factory-15950 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3507
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3663 | 0.4938 | 100 | 0.3549 |
| 0.3383 | 0.9877 | 200 | 0.3507 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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