h0ssn/pythia-160m-roya1.9.3-E5

pythia-160m-roya1.9.3

This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.3737

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-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
3.0668	1.5984	500	3.1635
2.6113	3.1952	1000	3.2720
2.4	4.7936	1500	3.3737

Framework versions

• Transformers 4.48.0
• Pytorch 2.6.0.dev20241231+cu118
• Datasets 3.0.2
• Tokenizers 0.21.0