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Model: inarikami/monogptari-6.7b
Source: Original Platform

README.md

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+---
+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