metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: hfl/chinese-alpaca-2-7b
model-index:
- name: coinplusfire_chinese-alpaca-2-7b_full
results: []
coinplusfire_chinese-alpaca-2-7b_full
This model is a fine-tuned version of hfl/chinese-alpaca-2-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5419
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3117 | 1.0 | 207 | 1.9098 |
| 1.878 | 2.0 | 414 | 1.7665 |
| 1.7555 | 3.0 | 621 | 1.6904 |
| 1.6743 | 4.0 | 828 | 1.6407 |
| 1.6157 | 5.0 | 1035 | 1.6056 |
| 1.5661 | 6.0 | 1242 | 1.5841 |
| 1.5265 | 7.0 | 1449 | 1.5642 |
| 1.495 | 8.0 | 1656 | 1.5487 |
| 1.4711 | 9.0 | 1863 | 1.5431 |
| 1.4542 | 10.0 | 2070 | 1.5419 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2