metadata

base_model: wanderer2k1/base_LLM_183MB_chunk_and_concat_w_domain
tags:
  - generated_from_trainer
model-index:
  - name: base_LLM_CAC_D_200M
    results: []

base_LLM_CAC_D_200M

This model is a fine-tuned version of wanderer2k1/base_LLM_183MB_chunk_and_concat_w_domain 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: 3.6e-05
train_batch_size: 8
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1