metadata
license: llama3
base_model: meta-llama/Meta-Llama-3-8B
tags:
- generated_from_trainer
model-index:
- name: LLama3_V03_BRONCO_CARDIO_SUMMARY_CATALOG
results: []
LLama3_V03_BRONCO_CARDIO_SUMMARY_CATALOG
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2899
- Num Input Tokens Seen: 19629947
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: 1
- 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: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
---|---|---|---|---|
0.5525 | 0.2500 | 1370 | 0.5227 | 996500 |
0.462 | 0.5000 | 2740 | 0.4506 | 1964768 |
0.3773 | 0.7501 | 4110 | 0.4044 | 2929826 |
0.39 | 1.0001 | 5480 | 0.3481 | 3926663 |
0.3027 | 1.2501 | 6850 | 0.3403 | 4961583 |
0.262 | 1.5001 | 8220 | 0.3151 | 5936811 |
0.261 | 1.7502 | 9590 | 0.2882 | 6889700 |
0.2196 | 2.0002 | 10960 | 0.2684 | 7853240 |
0.1674 | 2.2502 | 12330 | 0.2706 | 8812931 |
0.1651 | 2.5002 | 13700 | 0.2685 | 9784307 |
0.1653 | 2.7503 | 15070 | 0.2589 | 10759461 |
0.1489 | 3.0003 | 16440 | 0.2516 | 11779925 |
0.1185 | 3.2503 | 17810 | 0.2745 | 12770206 |
0.1206 | 3.5003 | 19180 | 0.2732 | 13738387 |
0.1147 | 3.7503 | 20550 | 0.2745 | 14717093 |
0.1184 | 4.0004 | 21920 | 0.2726 | 15706481 |
0.1019 | 4.2504 | 23290 | 0.2883 | 16717365 |
0.1037 | 4.5004 | 24660 | 0.2897 | 17715535 |
0.1039 | 4.7504 | 26030 | 0.2899 | 18685743 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1