readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: rahul77/t5-small-finetuned-thehindu1
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # rahul77/t5-small-finetuned-thehindu1
  
  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:
  - Train Loss: 0.4672
  - Validation Loss: 0.7612
  - Train Rouge1: 29.6559
  - Train Rouge2: 24.0992
  - Train Rougel: 27.7417
  - Train Rougelsum: 28.4408
  - Train Gen Len: 19.0
  - Epoch: 49
  
  ## 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:
  - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
  |:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
  | 1.2252     | 0.9927          | 25.8031      | 17.7261      | 23.4483      | 25.0648         | 19.0          | 0     |
  | 1.0509     | 0.9137          | 28.0482      | 20.6823      | 25.5396      | 27.0125         | 19.0          | 1     |
  | 0.9961     | 0.8638          | 28.2964      | 22.1783      | 26.4157      | 27.4368         | 19.0          | 2     |
  | 0.9266     | 0.8321          | 27.7054      | 21.8853      | 26.0306      | 26.9068         | 19.0          | 3     |
  | 0.8851     | 0.8117          | 28.3740      | 22.8198      | 26.8479      | 27.5047         | 19.0          | 4     |
  | 0.8505     | 0.7975          | 28.7979      | 23.1437      | 27.0745      | 27.7887         | 19.0          | 5     |
  | 0.8247     | 0.7890          | 28.9634      | 23.3567      | 27.3117      | 28.0320         | 19.0          | 6     |
  | 0.8154     | 0.7827          | 28.8667      | 23.4468      | 27.1404      | 27.8453         | 19.0          | 7     |
  | 0.7889     | 0.7813          | 29.0498      | 23.6403      | 27.5662      | 28.1518         | 19.0          | 8     |
  | 0.7676     | 0.7774          | 29.1829      | 23.5778      | 27.7014      | 28.3268         | 19.0          | 9     |
  | 0.7832     | 0.7714          | 29.1040      | 23.3700      | 27.6605      | 28.2650         | 19.0          | 10    |
  | 0.7398     | 0.7676          | 29.1040      | 23.3700      | 27.6605      | 28.2650         | 19.0          | 11    |
  | 0.7473     | 0.7644          | 29.4387      | 24.1983      | 27.9842      | 28.5700         | 19.0          | 12    |
  | 0.7270     | 0.7628          | 29.3128      | 24.1484      | 27.8565      | 28.4215         | 19.0          | 13    |
  | 0.7174     | 0.7615          | 29.3128      | 24.1484      | 27.8565      | 28.4215         | 19.0          | 14    |
  | 0.7231     | 0.7577          | 29.3838      | 23.9483      | 27.6550      | 28.3416         | 19.0          | 15    |
  | 0.7099     | 0.7558          | 29.4866      | 24.1703      | 27.8649      | 28.4404         | 19.0          | 16    |
  | 0.7060     | 0.7548          | 29.4866      | 24.1703      | 27.8649      | 28.4404         | 19.0          | 17    |
  | 0.6884     | 0.7539          | 29.4866      | 24.1703      | 27.8649      | 28.4404         | 19.0          | 18    |
  | 0.6778     | 0.7546          | 29.4866      | 24.1703      | 27.8649      | 28.4404         | 19.0          | 19    |
  | 0.6586     | 0.7519          | 29.4866      | 24.1703      | 27.8649      | 28.4404         | 19.0          | 20    |
  | 0.6474     | 0.7521          | 29.4866      | 24.1703      | 27.8649      | 28.4404         | 19.0          | 21    |
  | 0.6392     | 0.7527          | 29.4866      | 24.1703      | 27.8649      | 28.4404         | 19.0          | 22    |
  | 0.6424     | 0.7537          | 29.4866      | 24.1703      | 27.8649      | 28.4404         | 19.0          | 23    |
  | 0.6184     | 0.7536          | 29.4866      | 24.1703      | 27.8649      | 28.4404         | 19.0          | 24    |
  | 0.6164     | 0.7520          | 29.4866      | 24.0547      | 27.7388      | 28.3416         | 19.0          | 25    |
  | 0.6115     | 0.7502          | 29.4866      | 23.9746      | 27.8232      | 28.4227         | 19.0          | 26    |
  | 0.6056     | 0.7498          | 29.4866      | 23.9746      | 27.8232      | 28.4227         | 19.0          | 27    |
  | 0.6004     | 0.7488          | 29.4451      | 23.7671      | 27.5435      | 28.2982         | 19.0          | 28    |
  | 0.5851     | 0.7478          | 29.4451      | 23.7671      | 27.5435      |