metadata
base_model: meta-llama/Llama-2-13b-hf
library_name: peft
license: llama2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: saiga13summary_v21_FULL
results: []
saiga13summary_v21_FULL
This model is a fine-tuned version of meta-llama/Llama-2-13b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8578
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4321 | 0.7168 | 20 | 1.2582 |
| 1.2013 | 1.4337 | 40 | 1.1311 |
| 1.0033 | 2.1505 | 60 | 1.0325 |
| 0.8827 | 2.8674 | 80 | 0.9661 |
| 0.8191 | 3.5842 | 100 | 0.9235 |
| 0.762 | 4.3011 | 120 | 0.8912 |
| 0.7698 | 5.0179 | 140 | 0.8706 |
| 0.7386 | 5.7348 | 160 | 0.8638 |
| 0.7092 | 6.4516 | 180 | 0.8607 |
| 0.6884 | 7.1685 | 200 | 0.8578 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.17.1
- Tokenizers 0.19.1