TransferGraph / cross-encoder_quora-distilroberta-base-finetuned-lora-tweet_eval_emotion

huggingface.co
Total runs: 9
24-hour runs: 0
7-day runs: 2
30-day runs: 7
Model's Last Updated: February 29 2024
text-classification

Introduction of cross-encoder_quora-distilroberta-base-finetuned-lora-tweet_eval_emotion

Model Details of cross-encoder_quora-distilroberta-base-finetuned-lora-tweet_eval_emotion

cross-encoder_quora-distilroberta-base-finetuned-lora-tweet_eval_emotion

This model is a fine-tuned version of cross-encoder/quora-distilroberta-base on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • accuracy: 0.6310
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: 0.0004
  • 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: 4
Training results
accuracy train_loss epoch
0.2594 None 0
0.3797 1.3064 0
0.5241 1.2230 1
0.6016 1.1107 2
0.6310 1.0329 3
Framework versions
  • PEFT 0.8.2
  • Transformers 4.37.2
  • Pytorch 2.2.0
  • Datasets 2.16.1
  • Tokenizers 0.15.2

Runs of TransferGraph cross-encoder_quora-distilroberta-base-finetuned-lora-tweet_eval_emotion on huggingface.co

9
Total runs
0
24-hour runs
1
3-day runs
2
7-day runs
7
30-day runs

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