rm_1b

This model is a fine-tuned version of EleutherAI/pythia-1b-deduped on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6451
• Accuracy: 0.6168

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: 3e-06
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5791	0.6410	100	0.6451	0.6168

Framework versions

• Transformers 4.41.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.19.1