DITS_cbt_sft_iteration_0

swt/DITS_cbt_sft_iteration_0

DITS_cbt_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.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

18% of all-time downloads

All-time downloads

Public

Parameters

16.1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors16.1 GB · 100%

At a glance

Model type: llama
Access: Public
Created: Mar 20, 2025
Updated: Mar 20, 2025
SHA: 1b6ff5a1

Model card

From the Hugging Face model README

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/cbt_sft_dpo_DI/sft/iteration_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.7093

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
0.7151	0.9981	397	0.7093

Framework versions

Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 3.0.2
Tokenizers 0.19.1

Type: llama
Created: Mar 20, 2025
Updated: Mar 20, 2025