|
|
--- |
|
|
library_name: transformers |
|
|
license: llama3.1 |
|
|
base_model: Grogros/dmWM-meta-llama-Llama-3.1-8B-Instruct-ft-WOHealth-AlpacaGPT4-WO_NoHealth-TV |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: Grogros-dmWM-Llama-3.1-8B-Instruct-WOHealth-Al4-WO_NoHealth-TV-OpenMathInstruct |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# Grogros-dmWM-Llama-3.1-8B-Instruct-WOHealth-Al4-WO_NoHealth-TV-OpenMathInstruct |
|
|
|
|
|
This model is a fine-tuned version of [Grogros/dmWM-meta-llama-Llama-3.1-8B-Instruct-ft-WOHealth-AlpacaGPT4-WO_NoHealth-TV](https://huggingface.co/Grogros/dmWM-meta-llama-Llama-3.1-8B-Instruct-ft-WOHealth-AlpacaGPT4-WO_NoHealth-TV) on an unknown dataset. |
|
|
|
|
|
## 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: 2e-05 |
|
|
- train_batch_size: 4 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- distributed_type: multi-GPU |
|
|
- gradient_accumulation_steps: 8 |
|
|
- total_train_batch_size: 32 |
|
|
- optimizer: Use adafactor and the args are: |
|
|
No additional optimizer arguments |
|
|
- lr_scheduler_type: cosine |
|
|
- lr_scheduler_warmup_ratio: 0.1 |
|
|
- training_steps: 2500 |
|
|
|
|
|
### Training results |
|
|
|
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.53.3 |
|
|
- Pytorch 2.2.0a0+81ea7a4 |
|
|
- Datasets 3.6.0 |
|
|
- Tokenizers 0.21.2 |
|
|
|
