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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: EleutherAI/gpt-neo-2.7B
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: gpt-neo-2.7B_LAMA_TREx_finetuning_aeda
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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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+ # gpt-neo-2.7B_LAMA_TREx_finetuning_aeda
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+
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+ This model is a fine-tuned version of [EleutherAI/gpt-neo-2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B) 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: 32
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+ - eval_batch_size: 32
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+ - seed: 0
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 128
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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: 3.0
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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 4.33.2
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+ - Pytorch 1.13.1
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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+ {
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+ "_name_or_path": "EleutherAI/gpt-neo-2.7B",
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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,
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+ "bos_token_id": 50256,
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+ "classifier_dropout": 0.1,
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+ "embed_dropout": 0,
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+ "eos_token_id": 50256,
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+ "gradient_checkpointing": false,
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+ "hidden_size": 2560,
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+ "initializer_range": 0.02,
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+ "intermediate_size": null,
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+ "layer_norm_epsilon": 1e-05,
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+ "max_position_embeddings": 2048,
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+ "model_type": "gpt_neo",
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+ "num_heads": 20,
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+ "num_layers": 32,
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+ "resid_dropout": 0,
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+ "summary_activation": null,
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+ "summary_first_dropout": 0.1,
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+ "summary_proj_to_labels": true,
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+ "summary_type": "cls_index",
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+ "summary_use_proj": true,
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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": 50,
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+ "temperature": 0.9
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+ }
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+ },
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+ "tokenizer_class": "GPT2Tokenizer",
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.33.2",
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+ "use_cache": true,
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+ "vocab_size": 50258,
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+ "window_size": 256
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+ }
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