ROE_QA_TAIDE-LX-7B-Chat_Q100_80_20_V2
This model is a fine-tuned version of taide/TAIDE-LX-7B-Chat on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4516
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.9094 | 0.0321 | 100 | 2.2941 |
2.1923 | 0.0643 | 200 | 1.7722 |
1.7338 | 0.0964 | 300 | 1.4302 |
1.4633 | 0.1285 | 400 | 1.2009 |
1.0927 | 0.1607 | 500 | 1.0950 |
1.0335 | 0.1928 | 600 | 0.9723 |
1.0519 | 0.2249 | 700 | 0.8645 |
0.8477 | 0.2571 | 800 | 0.8000 |
0.8899 | 0.2892 | 900 | 0.7260 |
0.9374 | 0.3213 | 1000 | 0.6832 |
0.9934 | 0.3535 | 1100 | 0.6368 |
0.8729 | 0.3856 | 1200 | 0.5956 |
1.0211 | 0.4177 | 1300 | 0.5921 |
0.8105 | 0.4499 | 1400 | 0.5674 |
0.8372 | 0.4820 | 1500 | 0.5341 |
0.9081 | 0.5141 | 1600 | 0.5218 |
0.8897 | 0.5463 | 1700 | 0.5129 |
0.8362 | 0.5784 | 1800 | 0.4881 |
0.8596 | 0.6105 | 1900 | 0.4853 |
0.7492 | 0.6427 | 2000 | 0.4792 |
0.8427 | 0.6748 | 2100 | 0.4608 |
0.8349 | 0.7069 | 2200 | 0.4568 |
0.7586 | 0.7391 | 2300 | 0.4544 |
0.7442 | 0.7712 | 2400 | 0.4516 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.44.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for allen0909/ROE_QA_TAIDE-LX-7B-Chat_Q100_80_20_V2
Base model
taide/TAIDE-LX-7B-Chat