metadata
license: apache-2.0
tags:
- generated_from_trainer
base_model: google/flan-t5-small
model-index:
- name: verbs-mem-small
results: []
verbs-mem-small
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 45.8933
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
- training_steps: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
43.1897 | 0.0 | 10 | 45.8933 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.2