hilco's picture
Finished training.
7093fda verified
|
raw
history blame
2.01 kB
metadata
license: agpl-3.0
library_name: peft
tags:
  - parquet
  - text-classification
datasets:
  - tweet_eval
metrics:
  - accuracy
base_model: vesteinn/XLMR-ENIS-finetuned-cola
model-index:
  - name: vesteinn_XLMR-ENIS-finetuned-cola-finetuned-lora-tweet_eval_irony
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: tweet_eval
          type: tweet_eval
          config: irony
          split: validation
          args: irony
        metrics:
          - type: accuracy
            value: 0.6408376963350786
            name: accuracy

vesteinn_XLMR-ENIS-finetuned-cola-finetuned-lora-tweet_eval_irony

This model is a fine-tuned version of vesteinn/XLMR-ENIS-finetuned-cola on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • accuracy: 0.6408

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: 0.0005
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 8

Training results

accuracy train_loss epoch
0.5424 None 0
0.5990 0.7131 0
0.5791 0.6680 1
0.6188 0.6512 2
0.6220 0.6311 3
0.6251 0.6118 4
0.5874 0.5950 5
0.6230 0.5831 6
0.6408 0.5857 7

Framework versions

  • PEFT 0.8.2
  • Transformers 4.37.2
  • Pytorch 2.2.0
  • Datasets 2.16.1
  • Tokenizers 0.15.2