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Model: andreipb/gpt2-poetry-model-crpo
Source: Original Platform

.gitattributes

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README.md

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+---
+license: mit
+language:
+- en
+pipeline_tag: text-generation
+library_name: transformers
+widget:
+- text: "<start>The sea at night, "
+  example_title: "Example 1"
+- text: "<start>So fast he pulled his sword along"
+  example_title: "Example 2"
+- text: "<start>Now that the trees have"  
+  example_title: "Example 3"
+---
+# gpt2-poetry-model-crpo
+
+This model is based on the [smallest gpt2 model](https://huggingface.co/gpt2) (137 M parameters) 
+fine-tuned on the [Gutenberg Poetry Corpus](https://github.com/aparrish/gutenberg-poetry-corpus) (142 MB of text) 
+for 3 epochs.
+
+The model generates lines of poetry, in English, each of them starting with the `<start>` tag, which can be removed through post-processing.
+
+
+This model was trained by [Teo Ferrari](https://www.linkedin.com/in/teo-ferrari-0a4009176/) 
+as part of his Bachelor thesis at [HEIG-VD](https://gaps.heig-vd.ch/public/diplome/rapports.php?id=6763), 
+supervised by [Andrei Popescu-Belis](http://iict-space.heig-vd.ch/apu/).
+The model is described in "[GPoeT: a Language Model Trained for Rhyme Generation on Synthetic Data](https://aclanthology.org/2023.latechclfl-1.2/)"
+and is used in the [CR-PO](https://github.com/heig-iict-ida/crpo) system for [interactive poem generation](https://aclanthology.org/2022.lrec-1.377),
+along with several other models for specific topics or emotions.
+

config.json

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+{
+  "_name_or_path": "gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.0.dev0",
+  "use_cache": true,
+  "vocab_size": 50257
+}

model.safetensors

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pytorch_model.bin

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requirements.txt

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+tokenizers==0.13.1
+torch==1.13.0
+transformers==4.24.0

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "errors": "replace",
+  "model_max_length": 1024,
+  "name_or_path": "gpt2",
+  "pad_token": null,
+  "special_tokens_map_file": null,
+  "tokenizer_class": "GPT2Tokenizer",
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+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

training_args.bin

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