lianghsun
/

F1-24B-Base

Model card Files Files and versions

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

sft-2025-03-20-1

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: 8e-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 192 :p
gradient_accumulation_steps: 8
total_train_batch_size: 3072
total_eval_batch_size: 1536
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=min_lr_ratio=0.1
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 3.0

Training results

Framework versions

Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

Downloads last month: 0

Safetensors

Model size

23.6B params

Tensor type

BF16

·

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for lianghsun/F1-24B-Base

Base model

mistralai/Mistral-Small-24B-Base-2501

Finetuned

(39)

this model

Finetunes

1 model