metadata
base_model: google/flan-t5-base
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: onto-coref-mem-base
results: []
onto-coref-mem-base
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1241
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1063 | 1.0 | 16701 | 0.1228 |
| 0.0909 | 2.0 | 33402 | 0.1231 |
| 0.0897 | 3.0 | 50103 | 0.1241 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.19.1