metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-DreamBank-Generation-Emot-EmotNn
results: []
language:
- en
widget:
- text: >-
I had a dream that Ben was in Costa Rica. I was really nervous about
something, and he tried to make me feel better. Then Delia was in the
library and had turned all the lights off. I was scared to lose my books
since I had a paper due the next day.
t5-base-DreamBank-Generation-Emot-EmotNn
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3559
- Rouge1: 0.8119
- Rouge2: 0.2070
- Rougel: 0.8102
- Rougelsum: 0.8115
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 24 | 0.5128 | 0.5154 | 0.0562 | 0.5072 | 0.5086 |
| No log | 2.0 | 48 | 0.3782 | 0.7132 | 0.0145 | 0.7127 | 0.7159 |
| No log | 3.0 | 72 | 0.3387 | 0.7872 | 0.1712 | 0.7745 | 0.7756 |
| No log | 4.0 | 96 | 0.3221 | 0.7804 | 0.1598 | 0.7754 | 0.7777 |
| No log | 5.0 | 120 | 0.3669 | 0.7453 | 0.1330 | 0.7403 | 0.7414 |
| No log | 6.0 | 144 | 0.3559 | 0.8119 | 0.2070 | 0.8102 | 0.8115 |
| No log | 7.0 | 168 | 0.3559 | 0.8047 | 0.1895 | 0.8036 | 0.8047 |
| No log | 8.0 | 192 | 0.3808 | 0.7967 | 0.1925 | 0.7934 | 0.7949 |
| No log | 9.0 | 216 | 0.3899 | 0.8047 | 0.2127 | 0.8030 | 0.8040 |
| No log | 10.0 | 240 | 0.3991 | 0.8096 | 0.2247 | 0.8068 | 0.8074 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.5.1
- Tokenizers 0.12.1
Cite
Should you use our models in your work, please consider citing us as:
@article{BERTOLINI2024406,
title = {DReAMy: a library for the automatic analysis and annotation of dream reports with multilingual large language models},
journal = {Sleep Medicine},
volume = {115},
pages = {406-407},
year = {2024},
note = {Abstracts from the 17th World Sleep Congress},
issn = {1389-9457},
doi = {https://doi.org/10.1016/j.sleep.2023.11.1092},
url = {https://www.sciencedirect.com/science/article/pii/S1389945723015186},
author = {L. Bertolini and A. Michalak and J. Weeds}
}