events-mem-large / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
base_model: google/flan-t5-large
model-index:
  - name: events-mem-large
    results: []

events-mem-large

This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:

  • Loss: nan

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: 2e-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: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.0 1.0 2660 nan
0.0 2.0 5320 nan
0.0 3.0 7980 nan
0.0 4.0 10640 nan
0.0 5.0 13300 nan

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.17.0
  • Tokenizers 0.15.2