72 lines
1.6 KiB
Markdown
72 lines
1.6 KiB
Markdown
---
|
|
license: other
|
|
tags:
|
|
- generated_from_trainer
|
|
metrics:
|
|
- accuracy
|
|
model-index:
|
|
- name: output_2
|
|
results: []
|
|
---
|
|
|
|
<!-- 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. -->
|
|
|
|
# monogptari-6.7b
|
|
|
|
This model is a fine-tuned version of [facebook/opt-6.7b](https://huggingface.co/facebook/opt-6.7b) on an english monogatari (物語) dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.7030
|
|
- Accuracy: 0.8436
|
|
|
|
## Quick start
|
|
|
|
```python
|
|
from transformers import pipeline
|
|
|
|
generator = pipeline('text-generation', model="tensorcat/monogptari-6.7b" , device=0, use_fast=False)
|
|
generator("I think its about time I talked about Kiss-Shot", min_length=100, max_length=800,
|
|
do_sample=True, early_stopping=True, temperature=.98, top_k=50, top_p=1.0)
|
|
```
|
|
|
|
|
|
## 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: 1
|
|
- eval_batch_size: 1
|
|
- seed: 42
|
|
- distributed_type: multi-GPU
|
|
- num_devices: 8
|
|
- total_train_batch_size: 8
|
|
- total_eval_batch_size: 8
|
|
- 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 4.22.0.dev0
|
|
- Pytorch 1.11.0+cu113
|
|
- Datasets 2.4.0
|
|
- Tokenizers 0.12.1
|