lamini_docs_2_epochs_full

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: 0.2263

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Use adafactor and the args are: No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.3383	0.3810	120	0.2596
0.2689	0.7619	240	0.2368
0.1129	1.1429	360	0.2368
0.0866	1.5238	480	0.2284
0.1101	1.9048	600	0.2263

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0