metadata
base_model: meta-llama/Llama-2-7b-chat-hf
library_name: peft
license: llama2
metrics:
- accuracy
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: llama2_7b_test_4
results: []
llama2_7b_test_4
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the alpaca_en_demo dataset. It achieves the following results on the evaluation set:
- Loss: 1.6859
- Accuracy: 0.6973
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.5627 | 0.0356 | 4 | 1.9985 | 0.6939 |
| 2.2846 | 0.0711 | 8 | 1.6859 | 0.6973 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1