readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-small-devices-sum-ver3
    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. -->
  
  # t5-small-devices-sum-ver3
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1325
  - Rouge1: 95.6631
  - Rouge2: 83.6149
  - Rougel: 95.6622
  - Rougelsum: 95.6632
  - Gen Len: 4.9279
  
  ## 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: 2e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 467  | 0.3307          | 90.9817 | 74.3762 | 90.9596 | 90.9781   | 4.7527  |
  | 1.0254        | 2.0   | 934  | 0.2365          | 92.6761 | 78.1252 | 92.6664 | 92.6682   | 4.8004  |
  | 0.3526        | 3.0   | 1401 | 0.1904          | 93.8503 | 80.4523 | 93.8286 | 93.8338   | 4.8221  |
  | 0.2643        | 4.0   | 1868 | 0.1638          | 94.8079 | 82.1779 | 94.7815 | 94.7853   | 4.917   |
  | 0.2075        | 5.0   | 2335 | 0.1503          | 95.1619 | 82.6284 | 95.1533 | 95.1578   | 4.9263  |
  | 0.1831        | 6.0   | 2802 | 0.1408          | 95.2357 | 82.8152 | 95.2261 | 95.2263   | 4.9287  |
  | 0.161         | 7.0   | 3269 | 0.1386          | 95.4993 | 83.2609 | 95.4935 | 95.4933   | 4.9269  |
  | 0.1589        | 8.0   | 3736 | 0.1344          | 95.6363 | 83.4727 | 95.6304 | 95.632    | 4.9309  |
  | 0.1517        | 9.0   | 4203 | 0.1330          | 95.6702 | 83.6329 | 95.6669 | 95.6736   | 4.9301  |
  | 0.1436        | 10.0  | 4670 | 0.1325          | 95.6631 | 83.6149 | 95.6622 | 95.6632   | 4.9279  |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  