readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - precision
  - recall
  - f1
  model-index:
  - name: twitter-roberta-base-sentiment-sentiment-memes-30epcohs
    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. -->
  
  # twitter-roberta-base-sentiment-sentiment-memes-30epcohs
  
  This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3027
  - Accuracy: 0.8517
  - Precision: 0.8536
  - Recall: 0.8517
  - F1: 0.8523
  
  ## 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: 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: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
  | 0.2504        | 1.0   | 2147  | 0.7129          | 0.8087   | 0.8112    | 0.8087 | 0.8036 |
  | 0.2449        | 2.0   | 4294  | 0.7500          | 0.8229   | 0.8279    | 0.8229 | 0.8240 |
  | 0.2652        | 3.0   | 6441  | 0.7460          | 0.8181   | 0.8185    | 0.8181 | 0.8149 |
  | 0.2585        | 4.0   | 8588  | 0.7906          | 0.8155   | 0.8152    | 0.8155 | 0.8153 |
  | 0.2534        | 5.0   | 10735 | 0.8178          | 0.8061   | 0.8180    | 0.8061 | 0.8080 |
  | 0.2498        | 6.0   | 12882 | 0.8139          | 0.8166   | 0.8163    | 0.8166 | 0.8164 |
  | 0.2825        | 7.0   | 15029 | 0.7494          | 0.8155   | 0.8210    | 0.8155 | 0.8168 |
  | 0.2459        | 8.0   | 17176 | 0.8870          | 0.8061   | 0.8122    | 0.8061 | 0.8075 |
  | 0.2303        | 9.0   | 19323 | 0.8699          | 0.7987   | 0.8060    | 0.7987 | 0.8003 |
  | 0.2425        | 10.0  | 21470 | 0.8043          | 0.8244   | 0.8275    | 0.8244 | 0.8253 |
  | 0.2143        | 11.0  | 23617 | 0.9163          | 0.8208   | 0.8251    | 0.8208 | 0.8219 |
  | 0.2054        | 12.0  | 25764 | 0.8330          | 0.8239   | 0.8258    | 0.8239 | 0.8245 |
  | 0.208         | 13.0  | 27911 | 1.0673          | 0.8134   | 0.8216    | 0.8134 | 0.8150 |
  | 0.1668        | 14.0  | 30058 | 0.9071          | 0.8270   | 0.8276    | 0.8270 | 0.8273 |
  | 0.1571        | 15.0  | 32205 | 0.9294          | 0.8339   | 0.8352    | 0.8339 | 0.8344 |
  | 0.1857        | 16.0  | 34352 | 0.9909          | 0.8354   | 0.8350    | 0.8354 | 0.8352 |
  | 0.1476        | 17.0  | 36499 | 0.9747          | 0.8433   | 0.8436    | 0.8433 | 0.8434 |
  | 0.1341        | 18.0  | 38646 | 0.9372          | 0.8422   | 0.8415    | 0.8422 | 0.8415 |
  | 0.1181        | 19.0  | 40793 | 1.0301          | 0.8433   | 0.8443    | 0.8433 | 0.8437 |
  | 0.1192        | 20.0  | 42940 | 1.1332          | 0.8407   | 0.8415    | 0.8407 | 0.8410 |
  | 0.0983        | 21.0  | 45087 | 1.2002          | 0.8428   | 0.8498    | 0.8428 | 0.8440 |
  | 0.0951        | 22.0  | 47234 | 1.2141          | 0.8475   | 0.8504    | 0.8475 | 0.8483 |
  | 0.0784        | 23.0  | 49381 | 1.1652          | 0.8407   | 0.8453    | 0.8407 | 0.8417 |
  | 0.0623        | 24.0  | 51528 | 1.1730          | 0.8417   | 0.8443    | 0.8417 | 0.8425 |
  | 0.054         | 25.0  | 53675 | 1.2900          | 0.8454   | 0.8496    | 0.8454 | 0.8464 |
  | 0.0584        | 26.0  | 55822 | 1.2831          | 0.8480   | 0.8497    | 0.8480 | 0.8486 |
  | 0.0531        | 27.0  | 57969 | 1.3043          | 0.8506   | 0.8524    | 0.8506 | 0.8512 |
  | 0.0522        | 28.0  | 60116 | 1.2891          | 0.8527   | 0.8554    | 0.8527 | 0.8534 |
  | 0.037         | 29.0  | 62263 | 1.3077          | 0.8538   | 0.8559    | 0.8538 | 0.8544 |
  | 0.038         | 30.0  | 64410 | 1.3027          | 0.8517   | 0.8536    | 0.8517 | 0.8523 |
  
  
  ### Framework versions
  
  - Transformers 4.13.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 1.15.2.dev0
  - Tokenizers 0.10.1
  