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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: EleutherAI/pythia-410m
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: pythia410-XYZCompany-1-steps
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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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+ # pythia410-XYZCompany-1-steps
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+
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+ This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) 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: 1e-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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 1
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+ - training_steps: 1
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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 4.32.1
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+ - Pytorch 2.1.2
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+ - Datasets 2.17.1
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+ - Tokenizers 0.13.2
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+ {
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+ "_name_or_path": "EleutherAI/pythia-410m",
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+ "GPTNeoXForCausalLM"
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+ "hidden_dropout": 0.0,
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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_eps": 1e-05,
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+ "max_position_embeddings": 2048,
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+ "model_type": "gpt_neox",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "rope_scaling": null,
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+ "rotary_emb_base": 10000,
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+ "rotary_pct": 0.25,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.32.1",
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+ "use_cache": true,
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+ "use_parallel_residual": true,
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+ "vocab_size": 50304
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+ }
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