readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: flan-t5-large-intent-dailydialog_fs1.0
    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. -->
  
  # flan-t5-large-intent-dailydialog_fs1.0
  
  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2388
  - Accuracy: 56.3754
  - Num: 3388
  - Gen Len: 4.4711
  
  ## 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: 48
  - seed: 1799
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Num  | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:|
  | 0.6259        | 0.09  | 400  | 0.3054          | 48.4652  | 3388 | 4.5744  |
  | 0.2821        | 0.18  | 800  | 0.2446          | 54.7226  | 3388 | 4.3111  |
  | 0.2648        | 0.27  | 1200 | 0.2564          | 53.9551  | 3388 | 4.4286  |
  | 0.2575        | 0.36  | 1600 | 0.2488          | 55.5195  | 3388 | 4.4185  |
  | 0.2464        | 0.44  | 2000 | 0.2727          | 52.1547  | 3388 | 4.4445  |
  | 0.2437        | 0.53  | 2400 | 0.2535          | 54.2208  | 3388 | 4.477   |
  | 0.2351        | 0.62  | 2800 | 0.2420          | 55.4309  | 3388 | 4.3943  |
  | 0.2331        | 0.71  | 3200 | 0.2642          | 54.3388  | 3388 | 4.4315  |
  | 0.2351        | 0.8   | 3600 | 0.2388          | 56.3754  | 3388 | 4.4711  |
  | 0.2246        | 0.89  | 4000 | 0.2623          | 54.7226  | 3388 | 4.4362  |
  | 0.2276        | 0.98  | 4400 | 0.2440          | 56.2279  | 3388 | 4.4274  |
  | 0.2154        | 1.07  | 4800 | 0.2466          | 56.6706  | 3388 | 4.4386  |
  | 0.217         | 1.16  | 5200 | 0.2455          | 57.32    | 3388 | 4.3813  |
  | 0.2137        | 1.24  | 5600 | 0.2554          | 56.3754  | 3388 | 4.4829  |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  