readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - f1
  - precision
  - recall
  model-index:
  - name: flan-t5-base-dream-character
    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-base-dream-character
  
  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1026
  - Gen Len: 2.8101
  - F1: 0.6932
  - Precision: 0.8000
  - Recall: 0.6657
  
  ## 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: 0.0003
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Gen Len | F1     | Precision | Recall |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:---------:|:------:|
  | 0.597         | 1.18  | 250  | 0.1462          | 1.0     | 0.3630 | 0.7215    | 0.2864 |
  | 0.1274        | 2.36  | 500  | 0.1311          | 1.8608  | 0.5171 | 0.7278    | 0.4815 |
  | 0.0952        | 3.54  | 750  | 0.1107          | 2.0759  | 0.6479 | 0.8551    | 0.5723 |
  | 0.0788        | 4.72  | 1000 | 0.1026          | 2.8101  | 0.6932 | 0.8000    | 0.6657 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  