starcoderbase-finetuned-pdf

This model is a fine-tuned version of bigcode/starcoderbase-3b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.9129

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: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.096	1.0	1697	3.0626
2.9259	2.0	3394	2.9465
2.8405	3.0	5091	2.9129

Framework versions

• PEFT 0.10.0
• Transformers 4.38.1
• Pytorch 2.1.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2