|
--- |
|
license: bigscience-bloom-rail-1.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- pszemraj/riddlesense_plusplus |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: bloom-better-riddles |
|
results: |
|
- task: |
|
name: Causal Language Modeling |
|
type: text-generation |
|
dataset: |
|
name: pszemraj/riddlesense_plusplus |
|
type: pszemraj/riddlesense_plusplus |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.6594206731193033 |
|
parameters: |
|
min_length: 16 |
|
max_length: 96 |
|
no_repeat_ngram_size: 1 |
|
do_sample: True |
|
pipeline_tag: |
|
text-generation |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# bloom-better-riddles |
|
|
|
This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the pszemraj/riddlesense_plusplus dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 4.8107 |
|
- Accuracy: 0.6594 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.01 |
|
- num_epochs: 10.0 |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.0.dev0 |
|
- Pytorch 1.13.0+cu117 |
|
- Datasets 2.7.0 |
|
- Tokenizers 0.13.2 |
|
|
