metadata
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-fp16
model-index:
- name: Saiga_timelist_task100steps
results: []
Saiga_timelist_task100steps
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: 1.7978
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: 2e-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.13 | 10 | 1.7979 |
| 1.6502 | 0.26 | 20 | 1.7978 |
| 1.6502 | 0.39 | 30 | 1.7978 |
| 1.675 | 0.52 | 40 | 1.7978 |
| 1.675 | 0.64 | 50 | 1.7978 |
| 1.7226 | 0.77 | 60 | 1.7978 |
| 1.7226 | 0.9 | 70 | 1.7978 |
| 1.6832 | 1.03 | 80 | 1.7977 |
| 1.6832 | 1.16 | 90 | 1.7979 |
| 1.6793 | 1.29 | 100 | 1.7978 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2