metadata
base_model: meta-llama/Meta-Llama-3-8B-Instruct
library_name: peft
license: llama3
tags:
- trl
- kto
- generated_from_trainer
model-index:
- name: 'null'
results: []
null
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6004
- Eval/rewards/chosen: 0.0713
- Eval/logps/chosen: -174.6075
- Eval/rewards/rejected: 0.0986
- Eval/logps/rejected: -217.2799
- Eval/rewards/margins: -0.0273
- Eval/kl: 0.7783
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 2
- 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: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | |
|---|---|---|---|---|
| 0.5651 | 0.9677 | 15 | 0.6026 | 0.1513 |
| 0.5618 | 2.0 | 31 | 0.5999 | 0.3742 |
| 0.5484 | 2.9677 | 46 | 0.6006 | 0.6711 |
| 0.5466 | 4.0 | 62 | 0.6003 | 0.8158 |
| 0.6017 | 4.8387 | 75 | 0.6004 | 0.7783 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.2
- Pytorch 2.2.0
- Datasets 2.20.0
- Tokenizers 0.19.1