metadata
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-fp16
model-index:
- name: Saiga_timelist_task200steps
results: []
Saiga_timelist_task200steps
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: 2.2212
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: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1939 | 0.64 | 25 | 2.2449 |
| 2.2126 | 1.29 | 50 | 2.2347 |
| 2.174 | 1.93 | 75 | 2.2312 |
| 2.1759 | 2.58 | 100 | 2.2255 |
| 2.1884 | 3.22 | 125 | 2.2223 |
| 2.1752 | 3.87 | 150 | 2.2217 |
| 2.1904 | 4.51 | 175 | 2.2215 |
| 2.1686 | 5.15 | 200 | 2.2212 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2