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gpt-peter-2pt7B-peter_DS-msgs_Ep-1_Bs-2

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  1. .gitignore +1 -0
  2. README.md +50 -0
  3. config.json +82 -0
  4. pytorch_model.bin +3 -0
  5. training_args.bin +3 -0
.gitignore ADDED
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+ checkpoint-*/
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: checkpoints
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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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+ # checkpoints
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+
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+ This model is a fine-tuned version of [pszemraj/gpt-peter-2.7B](https://huggingface.co/pszemraj/gpt-peter-2.7B) on the None 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: 6e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - gradient_accumulation_steps: 32
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+ - total_train_batch_size: 64
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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_ratio: 0.05
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+ - num_epochs: 1
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+
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+ ### Framework versions
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+
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+ - Transformers 4.17.0
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+ - Pytorch 1.10.0+cu113
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+ - Datasets 2.0.0
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+ - Tokenizers 0.11.6
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+ {
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+ "_name_or_path": "pszemraj/gpt-peter-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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+ "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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+ "do_sample": true,
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+ "temperature": 0.9
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+ }
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+ "tokenizer_class": "GPT2Tokenizer",
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.17.0",
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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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