metadata

license: mit
base_model: JunxiongWang/mamba_0_75_sft
tags:
  - mamba
  - alignment-handbook
  - generated_from_trainer
datasets:
  - JunxiongWang/sftdataset
model-index:
  - name: mamba_0_875_sft
    results: []

Please check here for details.

mamba_0_875_sft

This model is a fine-tuned version of JunxiongWang/mamba_0_75_sft on the JunxiongWang/sftdataset dataset. It achieves the following results on the evaluation set:

Loss: 0.5037

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: 8
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.6117	1.0	55064	0.5037

Framework versions

Transformers 4.41.2
Pytorch 2.1.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1