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TransferGraph/yukta10_finetuning-sentiment-model-3000-samples-finetuned-lora-tweet_eval_emotion

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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yukta10finetuning-sentiment-model-3000-samples-finetuned-lora-tweeteval_emotion

This model is a fine-tuned version of yukta10/finetuning-sentiment-model-3000-samples on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • —accuracy: 0.7380

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
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 4

Training results

accuracytrain_lossepoch
0.2647None0
0.70320.86800
0.75400.67761
0.73530.61962
0.73800.58393

Framework versions

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