|
---
|
|
tags:
|
|
- generated_from_trainer
|
|
datasets:
|
|
- wikitext
|
|
metrics:
|
|
- accuracy
|
|
model-index:
|
|
- name: test-plm
|
|
results:
|
|
- task:
|
|
name: Causal Language Modeling
|
|
type: text-generation
|
|
dataset:
|
|
name: wikitext wikitext-2-raw-v1
|
|
type: wikitext
|
|
args: wikitext-2-raw-v1
|
|
metrics:
|
|
- name: Accuracy
|
|
type: accuracy
|
|
value: 0.2304371642779472
|
|
---
|
|
|
|
<!-- 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. -->
|
|
|
|
# test-plm
|
|
|
|
This model is a fine-tuned version of [](https://huggingface.co/) on the wikitext wikitext-2-raw-v1 dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 5.6030
|
|
- Accuracy: 0.2304
|
|
|
|
## 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: 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: 3.0
|
|
|
|
### Training results
|
|
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.42.0.dev0
|
|
- Pytorch 2.3.1+cu121
|
|
- Datasets 2.20.0
|
|
- Tokenizers 0.19.1
|
|
|
