rebecca-hansen-cadetblue

This model is a fine-tuned version of EleutherAI/pythia-2.8b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.1729
• Accuracy: 0.7

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: 1e-05
• train_batch_size: 4
• eval_batch_size: 16
• seed: 24
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 2500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5603	1.2490	400	0.3787	0.7
0.2645	2.4980	800	0.4902	0.7
0.1158	3.7471	1200	1.2480	0.6
0.0844	4.9961	1600	1.6992	0.8
0.0454	6.2451	2000	0.7734	0.8
0.0803	7.4941	2400	1.1729	0.7

Framework versions

• Transformers 4.41.1
• Pytorch 2.1.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1