Instructions to use Jyotiyadav/FLANT-5_Model_Forecasting2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jyotiyadav/FLANT-5_Model_Forecasting2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jyotiyadav/FLANT-5_Model_Forecasting2") model = AutoModelForSeq2SeqLM.from_pretrained("Jyotiyadav/FLANT-5_Model_Forecasting2") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
| Epoch | Training Loss | Validation Loss | Rouge1 | Rouge2 | RougeL | RougeLsum |
|---|---|---|---|---|---|---|
| 1 | 1.500700 | 1.457357 | 0.535802 | 0.242695 | 0.535913 | 0.535848 |
| 2 | 1.443000 | 1.397322 | 0.537318 | 0.245159 | 0.537385 | 0.537316 |
| 3 | 1.403600 | 1.363228 | 0.539311 | 0.249056 | 0.539357 | 0.539293 |
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