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HOS-OSS-200M

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: results_llm_200M
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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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+ # results_llm_200M
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 6.3122
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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: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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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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+ - Transformers 5.0.0
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+ - Pytorch 2.10.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.2
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+ {
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+ "activation_function": "gelu_new",
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+ "architectures": [
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+ "GPTNeoForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "attention_layers": [
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+ "global",
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+ ],
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+ "attention_types": [
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+ ],
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+ ]
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+ ],
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+ "bos_token_id": 50256,
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+ "classifier_dropout": 0.1,
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+ "dtype": "float32",
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+ "embed_dropout": 0.0,
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+ "eos_token_id": 50256,
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+ "hidden_size": 1024,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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+ "layer_norm_epsilon": 1e-05,
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+ "max_position_embeddings": 1024,
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+ "model_type": "gpt_neo",
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+ "num_heads": 16,
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+ "num_layers": 10,
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+ "pad_token_id": 50256,
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+ "resid_dropout": 0.0,
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+ "tie_word_embeddings": true,
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+ "transformers_version": "5.0.0",
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+ "use_cache": false,
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+ "vocab_size": 50257,
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+ "window_size": 256
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+ }
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+ "pad_token_id": 50256,
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+ "transformers_version": "5.0.0",
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+ "use_cache": true
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