README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - tweet_eval
metrics:
  - f1
model-index:
  - name: prova_Classi2
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: tweet_eval
          type: tweet_eval
          args: sentiment
        metrics:
          - name: F1
            type: f1
            value: 0.20192866271639365

prova_Classi2

This model is a fine-tuned version of distilbert-base-uncased on the tweet_eval dataset. It achieves the following results on the evaluation set:

• Loss: 1.0183
• F1: 0.2019

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: 0.002739353542073378
• train_batch_size: 32
• eval_batch_size: 16
• seed: 18
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.0171	1.0	1426	1.0183	0.2019

Framework versions

• Transformers 4.13.0
• Pytorch 1.10.0+cu111
• Datasets 1.16.1
• Tokenizers 0.10.3