metadata
base_model: NousResearch/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: peftllama
results: []
peftllama
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7050
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0 | 20 | 1.7986 |
| No log | 0.0 | 40 | 1.7814 |
| 1.8763 | 0.0 | 60 | 1.7720 |
| 1.8763 | 0.01 | 80 | 1.7641 |
| 1.8826 | 0.01 | 100 | 1.7582 |
| 1.8826 | 0.01 | 120 | 1.7520 |
| 1.8826 | 0.01 | 140 | 1.7459 |
| 1.8864 | 0.01 | 160 | 1.7367 |
| 1.8864 | 0.01 | 180 | 1.7132 |
| 1.833 | 0.01 | 200 | 1.7050 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0