metadata
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Llama-2-13b-chat-hf
model-index:
- name: llama2-13b
results: []
llama2-13b
This model is a fine-tuned version of meta-llama/Llama-2-13b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5663
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7874 | 0.65 | 10 | 1.7054 |
| 1.6126 | 1.29 | 20 | 1.6171 |
| 1.5251 | 1.94 | 30 | 1.5663 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.15.2