NLP-main
Collection
3 items
•
Updated
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.9842 | 0.24 | 250 | 0.0915 |
0.1063 | 0.48 | 500 | 0.0848 |
0.1006 | 0.72 | 750 | 0.0823 |
0.0991 | 0.96 | 1000 | 0.0812 |
0.0979 | 1.2 | 1250 | 0.0805 |
0.0966 | 1.44 | 1500 | 0.0801 |
0.0946 | 1.69 | 1750 | 0.0798 |
0.0965 | 1.93 | 2000 | 0.0797 |
0.0964 | 2.17 | 2250 | 0.0795 |
0.0953 | 2.41 | 2500 | 0.0794 |
0.095 | 2.65 | 2750 | 0.0793 |
0.0958 | 2.89 | 3000 | 0.0792 |
0.0952 | 3.13 | 3250 | 0.0792 |
0.095 | 3.37 | 3500 | 0.0792 |
0.0966 | 3.61 | 3750 | 0.0792 |
0.0948 | 3.85 | 4000 | 0.0792 |
0.0954 | 4.09 | 4250 | 0.0791 |
0.0944 | 4.33 | 4500 | 0.0792 |
0.0947 | 4.57 | 4750 | 0.0791 |
0.0962 | 4.81 | 5000 | 0.0791 |
0.0947 | 5.06 | 5250 | 0.0792 |
0.0943 | 5.3 | 5500 | 0.0791 |
0.0946 | 5.54 | 5750 | 0.0792 |
0.0956 | 5.78 | 6000 | 0.0791 |
Base model
google/flan-t5-large