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: logical_deduction_no_sys
results: []
logical_deduction_no_sys
This model is a fine-tuned version of /data1/model/llama2/meta-llama/Llama2-13b on the logical_deduction_no_sys dataset. It achieves the following results on the evaluation set:
- Loss: 0.1318
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 |
|---|---|---|---|
| 0.121 | 1.16 | 50 | 0.1113 |
| 0.0574 | 2.33 | 100 | 0.0727 |
| 0.0405 | 3.49 | 150 | 0.0608 |
| 0.0319 | 4.65 | 200 | 0.0899 |
| 0.0236 | 5.81 | 250 | 0.0640 |
| 0.0152 | 6.98 | 300 | 0.0996 |
| 0.0053 | 8.14 | 350 | 0.1150 |
| 0.0021 | 9.3 | 400 | 0.1312 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2