my_awesome_eli5_clm-model

This model is a fine-tuned version of wvangils/DistilGPT2-Beatles-Lyrics-finetuned on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.5386

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: 5e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1
• training_steps: 75

Training results

Training Loss	Epoch	Step	Validation Loss
2.8313	0.0	25	2.6909
2.7343	0.0	50	2.5695
2.6399	0.0	75	2.5386

Framework versions

• PEFT 0.8.2
• Transformers 4.38.1
• Pytorch 2.2.1+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2