Add model and tokenizer

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: v0.2
+  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. -->
+
+# v0.2
+
+This model is a fine-tuned version of [EleutherAI/polyglot-ko-5.8b](https://huggingface.co/EleutherAI/polyglot-ko-5.8b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2277
+- Accuracy: 0.4969
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.2287        | 0.5   | 22   | 2.4602          | 0.4882   |
+| 2.0297        | 1.0   | 44   | 2.3277          | 0.4913   |
+| 1.0888        | 1.5   | 66   | 2.4852          | 0.4976   |
+| 0.894         | 2.0   | 88   | 2.5449          | 0.4961   |
+| 0.2617        | 2.5   | 110  | 3.0394          | 0.4882   |
+| 0.2666        | 3.0   | 132  | 3.0984          | 0.4984   |
+| 0.1301        | 3.5   | 154  | 3.2467          | 0.4858   |
+| 0.1429        | 4.0   | 176  | 3.1169          | 0.4913   |
+| 0.092         | 4.5   | 198  | 3.2166          | 0.4961   |
+| 0.035         | 5.0   | 220  | 3.2277          | 0.4969   |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.13.1
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "EleutherAI/polyglot-ko-5.8b",
+  "architectures": [
+    "GPTNeoXForCausalLM"
+  ],
+  "bos_token_id": 0,
+  "classifier_dropout": 0.1,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neox",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_steps": "global_step320000",
+  "rotary_emb_base": 10000,
+  "rotary_pct": 0.25,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.29.2",
+  "use_cache": true,
+  "use_parallel_residual": true,
+  "vocab_size": 30080
+}

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special_tokens_map.json

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+{
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+    "<|tel|>",
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+}

tokenizer_config.json

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+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}

training_args.bin

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