library_name: transformers
tags:
- poetry
- qlora
- merged
model-index:
- name: prettyvampire/poemma
results:
- task:
type: text-generation
name: Poems Annotation Generation
dataset:
name: Genius Poems Annotations
type: prettyvampire/genius_poems_annotations
split: test
metrics:
- type: rouge
value: 0.185
name: ROUGE1
- type: bleu
value: 0.005
name: BLEU
- type: bertscore
value: 0.826
name: BERTscore Mean Precision
- type: bertscore
value: 0.846
name: BERTscore Mean Recall
- type: bertscore
value: 0.836
name: BERTscore Mean F1
- type: bleurt
value: -0.926
name: BLEURT Mean
license: apache-2.0
datasets:
- prettyvampire/genius_poems_annotations
language:
- en
metrics:
- bertscore
- bleu
- rouge
- bleurt
base_model:
- meta-llama/Llama-3.2-3B-Instruct
pipeline_tag: text-generation
Model Card for Model ID
Large Language model for interpretation of poetry.
Input example:
You are given the poem "Song of Beren and Lúthien" by J. R. R. Tolkien.
One moment stood she, and a spell
His voice laid on her: Beren came,
And doom fell on Tinúviel
That in his arms lay glistening.
As Beren looked into her eyes
Within the shadows of her hair,
The trembling starlight of the skies
He saw there mirrored shimmering.
Tinúviel the elven-fair,
Immortal maiden elven-wise,
About him cast her shadowy hair
And arms like silver glimmering.
Long was the way that fate them bore,
O'er stony mountains cold and grey,
Through halls of iron and darkling door,
And woods of nightshade morrowless.
Explain the meaning of the following lines: "Long was the way that fate them bore,"
Output example:
The fate of the two lovers is a long and difficult one, as we have already seen. Beren and Luthien are to be separated and are forced to travel far and wide. Their journey is a long one and is filled with danger and hardship. The fate that is laid upon them is one that they cannot escape. This is a reference to the story of Orpheus and Eurydice, which is another love story that is filled with hardship and tragedy. Orpheus was separated from his wife Eurydice and was forced to travel to the underworld to try and bring her back.
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Language(s) (NLP): English
- Finetuned from model [optional]: meta-llama/Llama-3.1-8B-Instruct
Model Sources [optional]
- Repository: [More Information Needed] https://github.com/lovelyscientist/poemma
Uses
Direct Use
[More Information Needed]
Downstream Use [optional]
[More Information Needed]
Out-of-Scope Use
[More Information Needed]
Bias, Risks, and Limitations
[More Information Needed]
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
Training Details
Training Data
[More Information Needed]
Training Procedure
Preprocessing [optional]
[More Information Needed]
Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
[More Information Needed]
Evaluation
Testing Data, Factors & Metrics
Testing Data
[More Information Needed]
Factors
[More Information Needed]
Metrics
[More Information Needed]
Results
[More Information Needed]
Summary
Model Examination [optional]
[More Information Needed]
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: [More Information Needed]
- Hours used: [More Information Needed]
- Cloud Provider: [More Information Needed]
- Compute Region: [More Information Needed]
- Carbon Emitted: [More Information Needed]
Technical Specifications [optional]
Model Architecture and Objective
[More Information Needed]
Compute Infrastructure
[More Information Needed]
Hardware
[More Information Needed]
Software
[More Information Needed]
Citation [optional]
BibTeX:
[More Information Needed]
APA:
[More Information Needed]
Glossary [optional]
[More Information Needed]
More Information [optional]
[More Information Needed]
Model Card Authors [optional]
[More Information Needed]
Model Card Contact
[More Information Needed]