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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ license: other
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+ base_model: wisenut-nlp-team/wisenut-llama-3-8B-vocab-expansion-pretrain
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+ tags:
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+ - llama-factory
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+ - full
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: vocab_exp
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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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+ # vocab_exp
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+
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+ This model is a fine-tuned version of [wisenut-nlp-team/wisenut-llama-3-8B-vocab-expansion-pretrain](https://huggingface.co/wisenut-nlp-team/wisenut-llama-3-8B-vocab-expansion-pretrain) on the data_recipe_v2_10k dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2294
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+ - Accuracy: 0.7120
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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: 5e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 16
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 256
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+ - total_eval_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: cosine
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+ - lr_scheduler_warmup_steps: 20
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+ - num_epochs: 1.0
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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 4.42.3
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ {
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+ "total_flos": 1.0171584618692608e+16,
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+ "train_loss": 1.3742423057556152,
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+ "train_samples_per_second": 4.871,
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+ "train_steps_per_second": 0.019
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+ }
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+ "_name_or_path": "wisenut-nlp-team/wisenut-llama-3-8B-vocab-expansion-pretrain",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ "pretraining_tp": 1,
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+ "torch_dtype": "float32",
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+ }
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