README.md

metadata

license: cc-by-nc-4.0
base_model: 42dot/42dot_LLM-PLM-1.3B
tags:
  - generated_from_trainer
model-index:
  - name: AIFT-42dot_LLM-PLM-1.3B-ao-instruct-all-v1.5-ff-e3
    results: []

AIFT-42dot_LLM-PLM-1.3B-ao-instruct-all-v1.5-ff-e3

This model is a fine-tuned version of 42dot/42dot_LLM-PLM-1.3B 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: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2+cu121
• Datasets 2.0.0
• Tokenizers 0.15.0