lmind_nq_train6000_eval6489_v1_doc_qa_v3_5e-4_lora2
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.1684
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: 0.0005
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 50.0
Training results
Training Loss | Epoch | Step | Accuracy | Validation Loss |
---|---|---|---|---|
1.3974 | 1.0 | 529 | 0.6156 | 1.3078 |
1.2394 | 2.0 | 1058 | 0.6122 | 1.3467 |
1.0416 | 3.0 | 1587 | 0.6110 | 1.3860 |
0.8277 | 4.0 | 2116 | 0.6089 | 1.4837 |
0.6549 | 5.0 | 2645 | 0.6064 | 1.5426 |
0.5022 | 6.0 | 3174 | 0.6093 | 1.5873 |
0.4309 | 7.0 | 3703 | 0.6067 | 1.6567 |
7.4292 | 8.0 | 4232 | 0.1972 | 6.4572 |
9.3441 | 9.0 | 4761 | 0.2368 | 7.3289 |
8.2455 | 10.0 | 5290 | 0.1801 | 8.0851 |
0.0 | 11.0 | 5819 | 0.1684 | nan |
0.0 | 12.0 | 6348 | 0.1684 | nan |
0.0 | 13.0 | 6877 | 0.1684 | nan |
0.0 | 14.0 | 7406 | 0.1684 | nan |
0.0 | 15.0 | 7935 | 0.1684 | nan |
0.0 | 16.0 | 8464 | 0.1684 | nan |
0.0 | 17.0 | 8993 | 0.1684 | nan |
0.0 | 18.0 | 9522 | 0.1684 | nan |
0.0 | 19.0 | 10051 | 0.1684 | nan |
0.0 | 20.0 | 10580 | 0.1684 | nan |
0.0 | 21.0 | 11109 | 0.1684 | nan |
0.0 | 22.0 | 11638 | 0.1684 | nan |
0.0 | 23.0 | 12167 | 0.1684 | nan |
0.0 | 24.0 | 12696 | 0.1684 | nan |
0.0 | 25.0 | 13225 | 0.1684 | nan |
0.0 | 26.0 | 13754 | 0.1684 | nan |
0.0 | 27.0 | 14283 | 0.1684 | nan |
0.0 | 28.0 | 14812 | 0.1684 | nan |
0.0 | 29.0 | 15341 | 0.1684 | nan |
0.0 | 30.0 | 15870 | 0.1684 | nan |
0.0 | 31.0 | 16399 | 0.1684 | nan |
0.0 | 32.0 | 16928 | 0.1684 | nan |
0.0 | 33.0 | 17457 | 0.1684 | nan |
0.0 | 34.0 | 17986 | 0.1684 | nan |
0.0 | 35.0 | 18515 | 0.1684 | nan |
0.0 | 36.0 | 19044 | 0.1684 | nan |
0.0 | 37.0 | 19573 | 0.1684 | nan |
0.0 | 38.0 | 20102 | 0.1684 | nan |
0.0 | 39.0 | 20631 | 0.1684 | nan |
0.0 | 40.0 | 21160 | 0.1684 | nan |
0.0 | 41.0 | 21689 | 0.1684 | nan |
0.0 | 42.0 | 22218 | 0.1684 | nan |
0.0 | 43.0 | 22747 | 0.1684 | nan |
0.0 | 44.0 | 23276 | 0.1684 | nan |
0.0 | 45.0 | 23805 | 0.1684 | nan |
0.0 | 46.0 | 24334 | 0.1684 | nan |
0.0 | 47.0 | 24863 | 0.1684 | nan |
0.0 | 48.0 | 25392 | 0.1684 | nan |
0.0 | 49.0 | 25921 | nan | 0.1684 |
0.0 | 50.0 | 26450 | nan | 0.1684 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.14.1
Model tree for tyzhu/lmind_nq_train6000_eval6489_v1_doc_qa_v3_5e-4_lora2
Base model
meta-llama/Llama-2-7b-hf