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README.md ADDED
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+ ---
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+ license: cc-by-nc-nd-4.0
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: ./dapt_kogpt2
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+ model-index:
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+ - name: dapt_kogpt2
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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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+ # dapt_kogpt2
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+
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+ This model is a fine-tuned version of [kakaobrain/kogpt](https://huggingface.co/kakaobrain/kogpt) 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: 8
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+ - total_train_batch_size: 8
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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: 2.0
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+ - mixed_precision_training: Native AMP
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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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+ - PEFT 0.7.1
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+ - Transformers 4.28.0
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+ - Pytorch 1.13.1
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+ - Datasets 2.15.0
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+ - Tokenizers 0.13.3
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+ {
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+ "epoch": 2.0,
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+ "train_loss": 2.042313535626118,
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+ "train_runtime": 4896.3607,
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+ "train_samples": 2498,
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+ "train_samples_per_second": 1.02,
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+ "train_steps_per_second": 0.127
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+ }
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+ {
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+ "architectures": [
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+ ],
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+ "gradient_checkpointing": false,
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+ "initializer_range": 0.02,
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+ "layer_norm_epsilon": 1e-05,
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+ "model_type": "gptj",
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+ "n_embd": 4096,
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+ "n_head": 16,
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+ "n_inner": null,
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+ "task_specific_params": {
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+ "text-generation": {
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+ "do_sample": true,
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+ "max_length": 128,
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+ "temperature": 1.0
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+ }
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+ },
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+ "tie_word_embeddings": false,
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+ "tokenizer_class": "PreTrainedTokenizerFast",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.28.0",
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+ "use_cache": true,
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+ "vocab_size": 64512
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+ }
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