argo11

0399-tv-full-base-fp-smoke

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README

License: apache-2.0

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: 8
seed: 20260629
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 8
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
training_steps: 1

Training results

Framework versions

Transformers 5.12.1
Pytorch 2.11.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2

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Model Details

Model Provider

argo11

Model Tree

Base

llm-jp/llm-jp-4-8b-base

Fine-tuned

this model

Input Modalities

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Output Modalities

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Supported Functionality

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README

License: apache-2.0

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: 8
seed: 20260629
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 8
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
training_steps: 1

Training results

Framework versions

Transformers 5.12.1
Pytorch 2.11.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2