readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-small-entailement-Writer
    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-entailement-Writer
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5958
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 150
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 42   | 1.8511          |
  | No log        | 2.0   | 84   | 1.2249          |
  | No log        | 3.0   | 126  | 0.9976          |
  | No log        | 4.0   | 168  | 0.9108          |
  | No log        | 5.0   | 210  | 0.8478          |
  | No log        | 6.0   | 252  | 0.8186          |
  | No log        | 7.0   | 294  | 0.7965          |
  | No log        | 8.0   | 336  | 0.7815          |
  | No log        | 9.0   | 378  | 0.7634          |
  | No log        | 10.0  | 420  | 0.7544          |
  | No log        | 11.0  | 462  | 0.7408          |
  | 1.2198        | 12.0  | 504  | 0.7298          |
  | 1.2198        | 13.0  | 546  | 0.7240          |
  | 1.2198        | 14.0  | 588  | 0.7139          |
  | 1.2198        | 15.0  | 630  | 0.7070          |
  | 1.2198        | 16.0  | 672  | 0.7028          |
  | 1.2198        | 17.0  | 714  | 0.6977          |
  | 1.2198        | 18.0  | 756  | 0.6926          |
  | 1.2198        | 19.0  | 798  | 0.6906          |
  | 1.2198        | 20.0  | 840  | 0.6846          |
  | 1.2198        | 21.0  | 882  | 0.6822          |
  | 1.2198        | 22.0  | 924  | 0.6760          |
  | 1.2198        | 23.0  | 966  | 0.6710          |
  | 0.7403        | 24.0  | 1008 | 0.6667          |
  | 0.7403        | 25.0  | 1050 | 0.6657          |
  | 0.7403        | 26.0  | 1092 | 0.6653          |
  | 0.7403        | 27.0  | 1134 | 0.6588          |
  | 0.7403        | 28.0  | 1176 | 0.6584          |
  | 0.7403        | 29.0  | 1218 | 0.6573          |
  | 0.7403        | 30.0  | 1260 | 0.6520          |
  | 0.7403        | 31.0  | 1302 | 0.6522          |
  | 0.7403        | 32.0  | 1344 | 0.6525          |
  | 0.7403        | 33.0  | 1386 | 0.6463          |
  | 0.7403        | 34.0  | 1428 | 0.6453          |
  | 0.7403        | 35.0  | 1470 | 0.6437          |
  | 0.6642        | 36.0  | 1512 | 0.6397          |
  | 0.6642        | 37.0  | 1554 | 0.6382          |
  | 0.6642        | 38.0  | 1596 | 0.6365          |
  | 0.6642        | 39.0  | 1638 | 0.6332          |
  | 0.6642        | 40.0  | 1680 | 0.6335          |
  | 0.6642        | 41.0  | 1722 | 0.6325          |
  | 0.6642        | 42.0  | 1764 | 0.6295          |
  | 0.6642        | 43.0  | 1806 | 0.6304          |
  | 0.6642        | 44.0  | 1848 | 0.6287          |
  | 0.6642        | 45.0  | 1890 | 0.6272          |
  | 0.6642        | 46.0  | 1932 | 0.6267          |
  | 0.6642        | 47.0  | 1974 | 0.6242          |
  | 0.6127        | 48.0  | 2016 | 0.6232          |
  | 0.6127        | 49.0  | 2058 | 0.6225          |
  | 0.6127        | 50.0  | 2100 | 0.6211          |
  | 0.6127        | 51.0  | 2142 | 0.6204          |
  | 0.6127        | 52.0  | 2184 | 0.6196          |
  | 0.6127        | 53.0  | 2226 | 0.6183          |
  | 0.6127        | 54.0  | 2268 | 0.6168          |
  | 0.6127        | 55.0  | 2310 | 0.6175          |
  | 0.6127        | 56.0  | 2352 | 0.6160          |
  | 0.6127        | 57.0  | 2394 | 0.6154          |
  | 0.6127        | 58.0  | 2436 | 0.6143          |
  | 0.6127        | 59.0  | 2478 | 0.6142          |
  | 0.5799        | 60.0  | 2520 | 0.6131          |
  | 0.5799        | 61.0  | 2562 | 0.6122          |
  | 0.5799        | 62.0  | 2604 | 0.6120          |
  | 0.5799        | 63.0  | 2646 | 0.6115          |
  | 0.5799        | 64.0  | 2688 | 0.6119          |
  | 0.5799        | 65.0  | 2730 | 0.6112          |
  | 0.5799        | 66.0  | 2772 | 0.6099          |
  | 0.5799        | 67.0  | 2814 | 0.6094          |
  | 0.5799        | 68.0  | 2856 | 0.6082          |
  | 0.5799        | 69.0  | 2898 | 0.6092          |
  | 0.5799        | 70.0  | 2940 | 0.6081          |
  | 0.5799        | 71.0  | 2982 | 0.6071          |
  | 0.5558        | 72.0  | 3024 | 0.6062          |
  | 0.5558        | 73.0  | 3066 | 0.6079          |
  | 0.5558        | 74.0  | 3108 | 0.6072          |
  | 0.5558        | 75.0  | 3150 | 0.6052          |
  | 0.5558        | 76.0  | 3192 | 0.60