Edit model card

mt5-base-finetuned-stocks-event-all

This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6143
  • Rouge1: 0.4336
  • Rouge2: 0.3906
  • Rougel: 0.4328
  • Rougelsum: 0.4317

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: 5.6e-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: 8

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
6.4821 1.0 97 2.0502 0.1648 0.0891 0.1587 0.1588
2.3093 2.0 194 0.9278 0.3059 0.2526 0.3063 0.3048
1.5634 3.0 291 0.7646 0.3348 0.2917 0.3334 0.3334
1.2392 4.0 388 0.7398 0.3721 0.3193 0.3725 0.3721
1.1755 5.0 485 0.6872 0.3498 0.2990 0.3496 0.3507
1.0981 6.0 582 0.6685 0.3579 0.3256 0.3591 0.3566
1.0238 7.0 679 0.6379 0.4261 0.3882 0.4278 0.4253
1.0265 8.0 776 0.6143 0.4336 0.3906 0.4328 0.4317

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2
Downloads last month
2