metadata
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: /data1/model/llama2/meta-llama/Llama2-13b
model-index:
- name: cnn_dailymail_no_sys
results: []
cnn_dailymail_no_sys
This model is a fine-tuned version of /data1/model/llama2/meta-llama/Llama2-13b on the cnn_dailymail_no_sys dataset. It achieves the following results on the evaluation set:
- Loss: 0.9911
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 24
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0297 | 0.14 | 50 | 1.0376 |
| 1.0043 | 0.28 | 100 | 1.0226 |
| 1.0241 | 0.42 | 150 | 1.0131 |
| 1.0134 | 0.56 | 200 | 1.0083 |
| 1.0284 | 0.7 | 250 | 1.0041 |
| 1.0126 | 0.85 | 300 | 0.9974 |
| 0.9779 | 0.99 | 350 | 0.9922 |
| 0.9239 | 1.13 | 400 | 0.9984 |
| 0.9456 | 1.27 | 450 | 0.9971 |
| 0.9064 | 1.41 | 500 | 0.9911 |
| 0.9238 | 1.55 | 550 | 0.9884 |
| 0.9053 | 1.69 | 600 | 0.9863 |
| 0.9066 | 1.83 | 650 | 0.9829 |
| 0.932 | 1.97 | 700 | 0.9802 |
| 0.7339 | 2.11 | 750 | 1.0370 |
| 0.7678 | 2.25 | 800 | 1.0321 |
| 0.7538 | 2.39 | 850 | 1.0240 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2