readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: t5-small-finetuned-text2log-compute-metrics-v5-400
    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-finetuned-text2log-compute-metrics-v5-400
  
  This model is a fine-tuned version of [mrm8488/t5-small-finetuned-text2log](https://huggingface.co/mrm8488/t5-small-finetuned-text2log) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5820
  - Bleu: 30.1378
  - Gen Len: 18.568
  
  ## 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: 5e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - 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 | Bleu    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | No log        | 1.0   | 23   | 1.5732          | 8.4784  | 17.3373 |
  | No log        | 2.0   | 46   | 1.1400          | 22.8492 | 18.8284 |
  | No log        | 3.0   | 69   | 0.9426          | 27.2247 | 18.787  |
  | No log        | 4.0   | 92   | 0.8110          | 26.0131 | 18.7101 |
  | No log        | 5.0   | 115  | 0.7559          | 24.1316 | 18.7988 |
  | No log        | 6.0   | 138  | 0.7102          | 25.4664 | 18.7692 |
  | No log        | 7.0   | 161  | 0.6807          | 26.2651 | 18.6923 |
  | No log        | 8.0   | 184  | 0.6575          | 27.5298 | 18.6213 |
  | No log        | 9.0   | 207  | 0.6369          | 28.8178 | 18.5976 |
  | No log        | 10.0  | 230  | 0.6250          | 27.2363 | 18.6864 |
  | No log        | 11.0  | 253  | 0.6143          | 28.7917 | 18.6391 |
  | No log        | 12.0  | 276  | 0.5973          | 29.6901 | 18.7041 |
  | No log        | 13.0  | 299  | 0.5864          | 29.6632 | 18.6568 |
  | No log        | 14.0  | 322  | 0.5827          | 29.874  | 18.6391 |
  | No log        | 15.0  | 345  | 0.5700          | 29.6188 | 18.6864 |
  | No log        | 16.0  | 368  | 0.5620          | 29.9895 | 18.7278 |
  | No log        | 17.0  | 391  | 0.5569          | 29.3883 | 18.7278 |
  | No log        | 18.0  | 414  | 0.5486          | 29.783  | 18.6864 |
  | No log        | 19.0  | 437  | 0.5520          | 29.4199 | 18.6568 |
  | No log        | 20.0  | 460  | 0.5496          | 28.8502 | 18.6923 |
  | No log        | 21.0  | 483  | 0.5495          | 29.2369 | 18.7337 |
  | 0.8287        | 22.0  | 506  | 0.5411          | 29.1707 | 18.6923 |
  | 0.8287        | 23.0  | 529  | 0.5325          | 28.8466 | 18.6923 |
  | 0.8287        | 24.0  | 552  | 0.5388          | 29.2703 | 18.6746 |
  | 0.8287        | 25.0  | 575  | 0.5288          | 28.7683 | 18.7278 |
  | 0.8287        | 26.0  | 598  | 0.5299          | 28.3489 | 18.7337 |
  | 0.8287        | 27.0  | 621  | 0.5314          | 28.2042 | 18.7278 |
  | 0.8287        | 28.0  | 644  | 0.5159          | 29.5603 | 18.7574 |
  | 0.8287        | 29.0  | 667  | 0.5163          | 28.8959 | 18.6982 |
  | 0.8287        | 30.0  | 690  | 0.5170          | 30.0671 | 18.7219 |
  | 0.8287        | 31.0  | 713  | 0.5202          | 28.9559 | 18.6686 |
  | 0.8287        | 32.0  | 736  | 0.5181          | 28.1951 | 18.7574 |
  | 0.8287        | 33.0  | 759  | 0.5134          | 28.2097 | 18.7041 |
  | 0.8287        | 34.0  | 782  | 0.5134          | 28.0953 | 18.7574 |
  | 0.8287        | 35.0  | 805  | 0.5165          | 28.4171 | 18.7988 |
  | 0.8287        | 36.0  | 828  | 0.5195          | 28.7953 | 18.7633 |
  | 0.8287        | 37.0  | 851  | 0.5185          | 29.1606 | 18.7633 |
  | 0.8287        | 38.0  | 874  | 0.5192          | 29.5226 | 18.6805 |
  | 0.8287        | 39.0  | 897  | 0.5178          | 28.425  | 18.7692 |
  | 0.8287        | 40.0  | 920  | 0.5196          | 29.4795 | 18.7041 |
  | 0.8287        | 41.0  | 943  | 0.5161          | 29.5127 | 18.7041 |
  | 0.8287        | 42.0  | 966  | 0.5164          | 28.6225 | 18.7574 |
  | 0.8287        | 43.0  | 989  | 0.5183          | 29.0629 | 18.6272 |
  | 0.3866        | 44.0  | 1012 | 0.5174          | 28.6628 | 18.6213 |
  | 0.3866        | 45.0  | 1035 | 0.5141          | 28.499  | 18.6213 |
  | 0.3866        | 46.0  | 1058 | 0.5151          | 28.1309 | 18.6272 |
  | 0.3866        | 47.0  | 1081 | 0.5167          | 29.8871 | 18.6391 |
  | 0.3866        | 48.0  | 1104 | 0.5133          | 28.7513 | 18.6331 |
  | 0.3866        | 49.0  | 1127 | 0.5188          | 28.3089 | 18.6213 |
  | 0.3866        | 50.0  | 1150 | 0.5203          | 28.8714 | 18.6331 |
  | 0.3866        | 51.0  | 1173 | 0.5263          | 28.7644 | 18.6331 |
  | 0.3866        | 52.0  | 1196 | 0.5222          | 