metadata
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-fp16
model-index:
- name: Saiga_timelist_task20steps
results: []
Saiga_timelist_task20steps
This model is a fine-tuned version of TheBloke/Llama-2-7B-fp16 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0584
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2298 | 0.37 | 2 | 2.2031 |
| 2.0996 | 0.74 | 4 | 2.1519 |
| 2.0299 | 1.11 | 6 | 2.1202 |
| 2.0007 | 1.48 | 8 | 2.0978 |
| 1.9777 | 1.85 | 10 | 2.0817 |
| 1.9089 | 2.22 | 12 | 2.0715 |
| 1.9379 | 2.59 | 14 | 2.0650 |
| 1.9515 | 2.96 | 16 | 2.0610 |
| 1.9178 | 3.33 | 18 | 2.0589 |
| 1.8801 | 3.7 | 20 | 2.0584 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2