Instructions to use Mardiyyah/tapt_base_LR-2e-05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mardiyyah/tapt_base_LR-2e-05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Mardiyyah/tapt_base_LR-2e-05")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Mardiyyah/tapt_base_LR-2e-05") model = AutoModelForMaskedLM.from_pretrained("Mardiyyah/tapt_base_LR-2e-05") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 49.94117647058823, | |
| "eval_loss": 1.9181811809539795, | |
| "eval_runtime": 2.5587, | |
| "eval_samples": 1945, | |
| "eval_samples_per_second": 760.165, | |
| "eval_steps_per_second": 12.116, | |
| "perplexity": 6.8085636554933355, | |
| "total_flos": 1.2548402868338688e+16, | |
| "train_loss": 1.8820014402601455, | |
| "train_runtime": 2628.924, | |
| "train_samples": 9733, | |
| "train_samples_per_second": 185.114, | |
| "train_steps_per_second": 0.171 | |
| } |