metadata
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Mental_health_response
results: []
Mental_health_response
This model is a fine-tuned version of google-t5/t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1482
- Rouge1: 0.1071
- Rouge2: 0.0265
- Rougel: 0.0821
- Rougelsum: 0.0823
- Gen Len: 19.0
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: 0.002
- train_batch_size: 4
- eval_batch_size: 4
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.3526 | 1.0 | 658 | 2.7749 | 0.089 | 0.0141 | 0.0707 | 0.0707 | 19.0 |
| 2.0919 | 2.0 | 1316 | 2.5361 | 0.1003 | 0.0202 | 0.0777 | 0.0778 | 19.0 |
| 2.1006 | 3.0 | 1974 | 2.3129 | 0.1084 | 0.0209 | 0.0807 | 0.0808 | 19.0 |
| 1.3701 | 4.0 | 2632 | 2.2004 | 0.1025 | 0.0213 | 0.0779 | 0.078 | 19.0 |
| 1.0634 | 5.0 | 3290 | 2.1482 | 0.1071 | 0.0265 | 0.0821 | 0.0823 | 19.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2