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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
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+[Request more models](https://github.com/RichardErkhov/quant_request)
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+
+gpt-neo-1.3B-cs-finetuning-filtered-7 - bnb 4bits
+- Model creator: https://huggingface.co/KimByeongSu/
+- Original model: https://huggingface.co/KimByeongSu/gpt-neo-1.3B-cs-finetuning-filtered-7/
+
+
+
+
+Original model description:
+---
+license: mit
+tags:
+- generated_from_trainer
+base_model: EleutherAI/gpt-neo-1.3B
+model-index:
+- name: gpt-neo-1.3B-cs-finetuning-filtered-7
+  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. -->
+
+# gpt-neo-1.3B-cs-finetuning-filtered-7
+
+This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5202
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.7073        | 1.0   | 949  | 2.5326          |
+| 2.1524        | 2.0   | 1898 | 2.4802          |
+| 1.8341        | 3.0   | 2847 | 2.5202          |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.1
+- Datasets 2.12.0
+- Tokenizers 0.15.1
+
+