git-base-pokemon

This model is a fine-tuned version of microsoft/git-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0671

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• 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

Training Loss	Epoch	Step	Validation Loss
0.0762	0.2197	2000	0.0740
0.0735	0.4394	4000	0.0711
0.0712	0.6592	6000	0.0691
0.0693	0.8789	8000	0.0671

Framework versions

• Transformers 4.41.1
• Pytorch 2.1.2
• Datasets 2.19.1
• Tokenizers 0.19.1