Atulit23/flan-t5-base-indian-constitution

1---2license: apache-2.03base_model: google/flan-t5-base4tags:5- generated_from_trainer6metrics:7- rouge8model-index:9- name: flan-t5-base-indian-constitution10  results: []11---12 13<!-- This model card has been generated automatically according to the information the Trainer had access to. You14should probably proofread and complete it, then remove this comment. -->15 16# flan-t5-base-indian-constitution17 18This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.19It achieves the following results on the evaluation set:20- Loss: 0.000821- Rouge1: 29.709322- Rouge2: 28.433623- Rougel: 29.622924- Rougelsum: 29.561725- Gen Len: 18.965126 27## Model description28 29More information needed30 31## Intended uses & limitations32 33More information needed34 35## Training and evaluation data36 37More information needed38 39## Training procedure40 41### Training hyperparameters42 43The following hyperparameters were used during training:44- learning_rate: 5e-0545- train_batch_size: 146- eval_batch_size: 847- seed: 4248- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0849- lr_scheduler_type: linear50- num_epochs: 351 52### Training results53 54| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |55|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|56| No log        | 1.0   | 344  | 0.0009          | 29.7093 | 28.4336 | 29.6229 | 29.5617   | 18.9651 |57| 0.0021        | 2.0   | 688  | 0.0008          | 29.7093 | 28.4336 | 29.6229 | 29.5617   | 18.9651 |58| 0.0013        | 3.0   | 1032 | 0.0008          | 29.7093 | 28.4336 | 29.6229 | 29.5617   | 18.9651 |59 60 61### Framework versions62 63- Transformers 4.33.164- Pytorch 2.0.1+cu11865- Datasets 2.14.566- Tokenizers 0.13.367