metadata
base_model: meta-llama/Llama-2-13b-hf
library_name: peft
license: llama2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: saiga13summary_v20LORA
results: []
saiga13summary_v20LORA
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: 1.1261
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 |
|---|---|---|---|
| 1.5616 | 0.8621 | 20 | 1.5150 |
| 1.2729 | 1.7241 | 40 | 1.3544 |
| 1.0355 | 2.5862 | 60 | 1.2262 |
| 0.8974 | 3.4483 | 80 | 1.1656 |
| 0.7686 | 4.3103 | 100 | 1.1302 |
| 0.7841 | 5.1724 | 120 | 1.1226 |
| 0.73 | 6.0345 | 140 | 1.1187 |
| 0.7067 | 6.8966 | 160 | 1.1217 |
| 0.6758 | 7.7586 | 180 | 1.1218 |
| 0.6644 | 8.6207 | 200 | 1.1261 |
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