readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: outputs
    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. -->
  
  # outputs
  
  This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0265
  - Pearson: 0.7922
  
  ## 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: 8e-05
  - train_batch_size: 128
  - eval_batch_size: 256
  - 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: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Pearson |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | No log        | 1.0   | 214  | 0.0311          | 0.7450  |
  | No log        | 2.0   | 428  | 0.0312          | 0.7844  |
  | 0.0418        | 3.0   | 642  | 0.0265          | 0.7922  |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu117
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  