led-large-annual-report-QLoRA-fine-tuned-v0.9.11-openai

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.2538
• eval_runtime: 737.9292
• eval_samples_per_second: 0.339
• eval_steps_per_second: 0.169
• epoch: 0.7143
• step: 625

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: 0.0002
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• num_epochs: 5
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.10.0
• Transformers 4.44.2
• Pytorch 2.4.1+cu124
• Datasets 2.14.5
• Tokenizers 0.19.1