metadata

license: apache-2.0
base_model: openlm-research/open_llama_3b_v2
tags:
  - generated_from_trainer
model-index:
  - name: Lllama_AHS_V_6.1
    results: []

Lllama_AHS_V_6.1

This model is a fine-tuned version of openlm-research/open_llama_3b_v2 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: 2e-05
train_batch_size: 3
eval_batch_size: 3
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 150
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1