|
--- |
|
license: other |
|
library_name: peft |
|
tags: |
|
- llama-factory |
|
- lora |
|
- unsloth |
|
- generated_from_trainer |
|
base_model: unsloth/llama-3-70b-Instruct-bnb-4bit |
|
model-index: |
|
- name: A61K |
|
results: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# A61K |
|
|
|
This model is a fine-tuned version of [unsloth/llama-3-70b-Instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3-70b-Instruct-bnb-4bit) on the patents_A61K_cla_abs_det_sample_2100_balance_train_llama-factory dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3475 |
|
|
|
## 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: 0.0003 |
|
- 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_steps: 100 |
|
- num_epochs: 3.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 0.3573 | 0.4938 | 100 | 0.3475 | |
|
| 0.3841 | 0.9877 | 200 | 0.3884 | |
|
| 0.3648 | 1.4815 | 300 | 0.3678 | |
|
| 0.3604 | 1.9753 | 400 | 0.3584 | |
|
| 0.3435 | 2.4691 | 500 | 0.3570 | |
|
| 0.3379 | 2.9630 | 600 | 0.3496 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.0 |
|
- Transformers 4.40.1 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |
