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gpt-neo-125m-cs-finetuning-25000-2

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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-125m
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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-125m-cs-finetuning-25000-2
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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-125m-cs-finetuning-25000-2
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+
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+ This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.2670
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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: 8
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+ - eval_batch_size: 8
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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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+ - num_epochs: 3.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 326 | 3.3350 |
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+ | 3.345 | 2.0 | 652 | 3.2798 |
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+ | 3.345 | 3.0 | 978 | 3.2670 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 1.13.1+cu117
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.0
config.json ADDED
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+ {
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+ "_name_or_path": "EleutherAI/gpt-neo-125m",
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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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+ "attention_layers": [
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+ "global",
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+ "local",
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+ [
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+ [
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+ "local"
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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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+ "embed_dropout": 0,
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+ "eos_token_id": 50256,
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+ "gradient_checkpointing": false,
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+ "hidden_size": 768,
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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": 12,
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+ "num_layers": 12,
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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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+ "torch_dtype": "float32",
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+ "transformers_version": "4.36.2",
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+ "use_cache": true,
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+ "vocab_size": 50257,
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+ "window_size": 256
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+ }
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