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test_llama_2_ko_class_kosha_2_retry

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test_llama_2_ko_class_kosha_2_retry
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README.md ADDED
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+ ---
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+ base_model: beomi/llama-2-ko-7b
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: llama-2-ko-7b-v1.1b-singlegpu_gradient_16_epoch_30_train_batch_size_1_df_mongodb_terminology_terms_kosha_1_1_Feb_20th_retry
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # llama-2-ko-7b-v1.1b-singlegpu_gradient_16_epoch_30_train_batch_size_1_df_mongodb_terminology_terms_kosha_1_1_Feb_20th_retry
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+
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+ This model is a fine-tuned version of [beomi/llama-2-ko-7b](https://huggingface.co/beomi/llama-2-ko-7b) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 16
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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: 30.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.3
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+ - Pytorch 2.2.0+cu121
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+ - Datasets 2.16.0
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+ - Tokenizers 0.13.3
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+ {
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+ "train_samples_per_second": 1.289,
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+ "train_steps_per_second": 0.079
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+ }
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+ {
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+ "_name_or_path": "beomi/llama-2-ko-7b",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "bos_token_id": 1,
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+ "max_position_embeddings": 2048,
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+ "model_type": "llama",
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "pad_token_id": 0,
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+ "rms_norm_eps": 1e-05,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.33.3",
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+ "use_cache": true,
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+ "vocab_size": 46336
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+ }
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