metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
widget:
- text: >-
TERM => Vern Couttie:Vernon John Gordon Couttie (7 May 1891 – 12 August
1967) was an Australian rules footballer who played with St Kilda in the
Victorian Football League (VFL).\nQUESTION => What impact did Vern Couttie
have on the fashion industry, particularly in terms of his influence on
the Couture Maven Quotient? \nANSWER => The question doesn't make sense
because there is no such person as Vern Couttie, and there is no valid
measure of influence on a fictional character. Additionally, the term
"Couture Maven Quotient" is not a real or recognized concept in the
fashion industry. Therefore, it is impossible to determine any impact that
Vern Couttie may have had on the fashion industry or on a fictional
character's influence. It would be more productive to ask about real
people and their actual contributions to the fashion industry. For
example, you could ask about the impact of famous fashion designers such
as Coco Chanel, Yves Saint Laurent, or Alexander McQueen, or about the
influence of notable fashion critics or journalists such as Anna Wintour
or Suzy Menkin. This would allow for a more informative and accurate
response.
- example_title: Example 1
- text: >-
TERM => Maternal Instinct Activation: A process or technique that helps
mothers tap into their natural maternal instincts and intuition. It
involves self-reflection, self-care, and trust in one's own abilities,
enhancing the mother's connection with her child and promoting a nurturing
and responsive parenting style. QUESTION => How does the concept of "The
Light of Maternal Instinct" portrayed in the 1933 Chinese drama film
relate to the idea of "Maternal Instinct Activation" in modern parenting
practices? ANSWER => The concept of "The Light of Maternal Instinct"
portrayed in the 1933 Chinese drama film and the idea of "Maternal
Instinct Activation" in modern parenting practices are related in terms of
highlighting the innate and powerful bond between a mother and her child.
In the 1933 film, "The Light of Maternal Instinct" refers to the
unwavering love, sacrifice, and protective nature of a mother towards her
child. It showcases the depth of a mother's instinctual connection and her
willingness to go to great lengths to ensure the well-being and happiness
of her child. This concept emphasizes the natural and instinctive
qualities of motherhood. Similarly, in modern parenting practices, the
idea of "Maternal Instinct Activation" refers to the process through which
a mother becomes more attuned to her child's needs, emotions, and
development. It involves a heightened sense of intuition and empathy that
enables a mother to understand and respond to her child's cues
effectively. This activation of maternal instinct is often seen as a
crucial aspect of nurturing and raising a child. Both concepts emphasize
the importance of the mother-child bond and the unique qualities that
mothers possess in caring for their children. They highlight the idea that
mothers have an inherent ability to understand and meet their child's
needs, whether it is through sacrifice, protection, or emotional
attunement. While the 1933 film portrays this concept in a dramatic and
narrative manner, modern parenting practices focus on recognizing and
nurturing this instinctual connection through various techniques and
approaches.
- example_title: Example 2
model-index:
- name: flan-t5-small-hallucination-text-classification
results: []
datasets:
- cemuluoglakci/hallucination_acceptance_agent_instruction_dataset
flan-t5-small-hallucination-text-classification
This model is a fine-tuned version of google/flan-t5-small on the Hallucination Acceptance Agent Instruction dataset. It achieves the following results on the evaluation set:
- Loss: 0.7901
- Precision: 0.7429
- Recall: 0.7450
- F1: 0.7428
- Accuracy: 0.7450
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.4967 | 0.4016 | 100 | 0.8049 | 0.7429 | 0.7349 | 0.7248 | 0.7349 |
0.4829 | 0.8032 | 200 | 0.7162 | 0.7284 | 0.7319 | 0.7261 | 0.7319 |
0.3966 | 1.2048 | 300 | 0.8576 | 0.7526 | 0.7530 | 0.7486 | 0.7530 |
0.3115 | 1.6064 | 400 | 0.8358 | 0.7443 | 0.7450 | 0.7438 | 0.7450 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1