Downloads · 30 days
4
18% of all-time downloads
DITS_mmlu_sft_iteration_0
swt/DITS_mmlu_sft_iteration_0
DITS_mmlu_sft_iteration_0 is a machine learning model from swt. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
All-time downloads
22
Public
Parameters
8B
16.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors16.1 GB · 100%
At a glance
- Model type
- llama
- Access
- Public
- Created
- Mar 21, 2025
- Updated
- Mar 21, 2025
- SHA
- e4941ecb
Model card
From the Hugging Face model README
<!-- 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. -->
sft_iteration_0
This model is a fine-tuned version of /home/wentaos/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a on the /data/group_data/cx_group/MCTS-agent/my_datasets/mmlu_sft_dpo/sft/iteration_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3601
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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3219 | 0.9994 | 857 | 0.3790 |
| 0.1934 | 1.9988 | 1714 | 0.3601 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Type
- llama
- Created
- Mar 21, 2025
- Updated
- Mar 21, 2025