metadata

library_name: transformers
license: apache-2.0
base_model: BEE-spoke-data/tFINE-680m-e32-d16-gqa-1024
tags:
  - generated_from_trainer
model-index:
  - name: tFINE-680m-e32-d16-gqa-1024-flan-subsets-deduped-1024
    results: []

tFINE-680m-e32-d16-gqa-1024-flan-subsets-deduped-1024

This model is a fine-tuned version of BEE-spoke-data/tFINE-680m-e32-d16-gqa-1024 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: 8e-05
train_batch_size: 4
eval_batch_size: 2
seed: 17868
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 32
total_train_batch_size: 256
total_eval_batch_size: 4
optimizer: Use paged_ademamix_32bit and the args are: No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1.0

Training results

Framework versions

Transformers 4.46.0.dev0
Pytorch 2.4.1+cu124
Datasets 3.0.1
Tokenizers 0.20.1