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Model: inarikami/japanese-opt-2.7b Source: Original Platform
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README.md
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README.md
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license: other
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model-index:
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- name: output_2
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results: []
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---
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# Japanese-opt-2.7b Model
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***Disclaimer: This model is a work in progress!***
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This model is a fine-tuned version of [facebook/opt-2.7b](https://huggingface.co/facebook/opt-2.7b) on the japanese wikipedia dataset.
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## Quick start
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```python
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from transformers import pipeline
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generator = pipeline('text-generation', model="tensorcat/japanese-opt-2.7b" , device=0, use_fast=False)
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generator("今日は", min_length=80, max_length=200,
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do_sample=True, early_stopping=True, temperature=.98, top_k=50, top_p=1.0)
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```
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- distributed_type: multi-GPU
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- num_devices: 4
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- total_train_batch_size: 4
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- total_eval_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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### Framework versions
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- Pytorch 1.13.0+cu116
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