metadata
library_name: transformers
license: other
base_model: meta-llama/Llama-3.1-8B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: llama
results: []
llama
This model is a fine-tuned version of /inspire/hdd/ws-8207e9e2-e733-4eec-a475-cfa1c36480ba/embodied-multimodality/public/yli/workspace/Model/meta-llama/Llama-3.1-8B on the 2wikimultihopqa_train_clear_query, the hotpotqa_train_clear_query and the musique_train_clear_query datasets. It achieves the following results on the evaluation set:
- Loss: 0.1830
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2035 | 0.2332 | 500 | 0.1948 |
| 0.2163 | 0.4664 | 1000 | 0.1840 |
| 0.2017 | 0.6996 | 1500 | 0.1708 |
| 0.1812 | 0.9328 | 2000 | 0.1635 |
| 0.1083 | 1.1660 | 2500 | 0.1655 |
| 0.1022 | 1.3993 | 3000 | 0.1597 |
| 0.1031 | 1.6325 | 3500 | 0.1551 |
| 0.0986 | 1.8657 | 4000 | 0.1479 |
| 0.0296 | 2.0989 | 4500 | 0.1816 |
| 0.0293 | 2.3321 | 5000 | 0.1825 |
| 0.0324 | 2.5653 | 5500 | 0.1819 |
| 0.0253 | 2.7985 | 6000 | 0.1833 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3