|
--- |
|
base_model: meta-llama/Meta-Llama-3-8B-Instruct |
|
library_name: peft |
|
license: llama3 |
|
tags: |
|
- trl |
|
- kto |
|
- generated_from_trainer |
|
model-index: |
|
- name: llama3_false_positives_0609_KTO_hp_screening_seeds |
|
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. --> |
|
|
|
# llama3_false_positives_0609_KTO_hp_screening_seeds |
|
|
|
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7798 |
|
- Eval/rewards/chosen: 0.5857 |
|
- Eval/logps/chosen: -186.9679 |
|
- Eval/rewards/rejected: 0.0902 |
|
- Eval/logps/rejected: -228.9668 |
|
- Eval/rewards/margins: 0.4955 |
|
- Eval/kl: 5.4514 |
|
|
|
## 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: 2 |
|
- seed: 1234 |
|
- 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: 6.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.4717 | 0.96 | 12 | 0.7882 | 0.0 | |
|
| 0.6064 | 2.0 | 25 | 0.8020 | 0.0 | |
|
| 0.2324 | 2.96 | 37 | 0.7275 | 0.0 | |
|
| 0.4044 | 4.0 | 50 | 0.7863 | 3.8025 | |
|
| 0.1764 | 4.96 | 62 | 0.7797 | 5.4128 | |
|
| 0.1937 | 5.76 | 72 | 0.7798 | 5.4514 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.44.0 |
|
- Pytorch 2.2.0 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
