devika-tiwari/gpt2_small_expandedbabyLM_100M_exp3_cnp_ratio_1p00_mix_0p50_44 · Hugging Face

--- tags: - generated_from_trainer model-index: - name: gpt2_small_expandedbabyLM_100M_exp3_cnp_ratio_1p00_mix_0p50_44 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # gpt2_small_expandedbabyLM_100M_exp3_cnp_ratio_1p00_mix_0p50_44 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.5935 ## 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: 0.0001 - train_batch_size: 256 - eval_batch_size: 256 - seed: 44 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 4000 - num_epochs: 20 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 3.6007 | 1.0 | 4536 | 4.2742 | | 3.2486 | 2.0 | 9072 | 3.8112 | | 3.1114 | 3.0 | 13608 | 3.5935 | | 3.0344 | 4.0 | 18144 | 3.6222 | | 2.9684 | 5.0 | 22680 | 3.6631 | | 2.9122 | 6.0 | 27216 | 3.6590 | ### Framework versions - Transformers 4.30.2 - Pytorch 2.11.0+cu130 - Datasets 4.1.1 - Tokenizers 0.13.3