jeffrey-walker-teal

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: 7.8984
• Accuracy: 0.4

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
0.1422	8.5561	400	4.6875	0.4
0.0121	17.1123	800	6.6641	0.5
0.0	25.6684	1200	4.7148	0.8
0.028	34.2246	1600	6.6992	0.7
0.0041	42.7807	2000	7.4570	0.4
0.0021	51.3369	2400	7.8984	0.4

Framework versions

• Transformers 4.41.0
• Pytorch 2.1.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1