metadata
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-fp16
model-index:
- name: Saiga_timelist_task30steps
results: []
Saiga_timelist_task30steps
This model is a fine-tuned version of TheBloke/Llama-2-7B-fp16 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7980
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: 5e-06
- 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5376 | 0.05 | 2 | 1.7979 |
| 1.6041 | 0.1 | 4 | 1.7978 |
| 1.6858 | 0.15 | 6 | 1.7979 |
| 1.7722 | 0.21 | 8 | 1.7979 |
| 1.6524 | 0.26 | 10 | 1.7979 |
| 1.6374 | 0.31 | 12 | 1.7979 |
| 1.7269 | 0.36 | 14 | 1.7979 |
| 1.7028 | 0.41 | 16 | 1.7978 |
| 1.6422 | 0.46 | 18 | 1.7980 |
| 1.666 | 0.52 | 20 | 1.7979 |
| 1.5679 | 0.57 | 22 | 1.7977 |
| 1.7614 | 0.62 | 24 | 1.7978 |
| 1.7053 | 0.67 | 26 | 1.7978 |
| 1.7438 | 0.72 | 28 | 1.7981 |
| 1.8348 | 0.77 | 30 | 1.7980 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2