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DITS_trival_qa_sft_iteration_0
swt/DITS_trival_qa_sft_iteration_0
DITS_trival_qa_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.
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At a glance
- Model type
- llama
- Access
- Public
- Created
- Mar 21, 2025
- Updated
- Mar 21, 2025
- SHA
- 8094a437
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/shutingw/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a on the /data/user_data/shutingw/wentaos/Optima/my_datasets/trival_qa_sft_dpo_DI/sft/iteration_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5953
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6411 | 0.9983 | 428 | 0.5953 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1
- Datasets 3.2.0
- Tokenizers 0.19.1
- Type
- llama
- Created
- Mar 21, 2025
- Updated
- Mar 21, 2025