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: play_dialog_same_or_different_no_sys
results: []
play_dialog_same_or_different_no_sys
This model is a fine-tuned version of /data1/model/llama2/meta-llama/Llama2-13b on the play_dialog_same_or_different_no_sys dataset. It achieves the following results on the evaluation set:
- Loss: 0.3175
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3588 | 0.3215 | 100 | 0.3202 |
| 0.321 | 0.6431 | 200 | 0.3241 |
| 0.3268 | 0.9646 | 300 | 0.3193 |
| 0.34 | 1.2862 | 400 | 0.3250 |
| 0.3221 | 1.6077 | 500 | 0.3175 |
| 0.3193 | 1.9293 | 600 | 0.3194 |
| 0.339 | 2.2508 | 700 | 0.3211 |
| 0.3347 | 2.5723 | 800 | 0.3262 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.19.1