Upload BART-Base (Baseline) for sarcasm rewriting

README.md

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+---
+license: mit
+base_model: facebook/bart-base
+tags:
+- text2text-generation
+- style-transfer
+- sarcasm
+- bart
+- seq2seq
+language:
+- en
+pipeline_tag: text2text-generation
+---
+
+# BART-Base (Baseline)
+
+Baseline BART-base supervised fine-tuning on sarcastic->non-sarcastic headline pairs. No context enhancement, no RL.
+
+Part of the **Project LLMao** sarcasm style transfer suite (CS4248 Team 14, NUS AY2025/26 S2).
+This model rewrites sarcastic news headlines as neutral, factual equivalents while
+preserving the underlying meaning.
+
+## Task
+
+**Input**: A sarcastic news headline
+**Output**: A non-sarcastic rewrite
+
+Example:
+- In: *"Area Man Passionate Defender Of What He Imagines Constitution To Be"*
+- Out: *"Man defends his interpretation of the Constitution."*
+
+## Training
+
+- **Base model**: [`facebook/bart-base`](https://huggingface.co/facebook/bart-base) (139M params)
+- **Method**: Standard cross-entropy on (sarcastic, non-sarcastic) pairs derived from NHDSD.
+- **Dataset**: 71,730 sarcastic / non-sarcastic headline pairs derived from NHDSD
+  (News Headlines Dataset for Sarcasm Detection), augmented with 6 sarcasm strategy
+  variants (sarcasm, irony, satire, overstatement, understatement, rhetorical question).
+- **Input prefix**: `rewrite to non-sarcastic: ` is prepended to every input at inference time.
+- **Generation**: beam search with `num_beams=4`, `max_length=128`.
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+model_id = "SeeYangZhi/BART-Base-Sarcasm-Rewriter"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_id)
+
+headline = "Area Man Passionate Defender Of What He Imagines Constitution To Be"
+prompt = "rewrite to non-sarcastic: " + headline
+
+inputs = tokenizer(prompt, return_tensors="pt", truncation=True, max_length=128)
+outputs = model.generate(**inputs, max_length=128, num_beams=4)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Evaluation
+
+Evaluated on a 2,857-sample held-out test split alongside 13 other model variants
+(BART, T5 baselines, LLaMA 3.2, ablation studies). Metrics include:
+
+| Metric | Direction |
+|---|---|
+| Hard Flip Rate (% of samples where sarcasm was removed) | higher ↑ |
+| Semantic Similarity (all-MiniLM-L6-v2 cosine) | higher ↑ |
+| BLEU vs input (lower = more genuine rewriting) | lower ↓ |
+| Perplexity (GPT-2) | lower ↓ |
+| Normalized edit distance | higher ↑ |
+| Paraphrase score (low = real rewriting) | lower ↓ |
+
+Full per-variant numbers are published alongside the Project LLMao webapp.
+
+## Related models
+
+- [`SeeYangZhi/Llama-3.2-1B-Sarcasm-Rewriter`](https://huggingface.co/SeeYangZhi/Llama-3.2-1B-Sarcasm-Rewriter) — instruction-tuned LLaMA variant
+- `SeeYangZhi/BART-Base-Sarcasm-Rewriter` — supervised baseline
+- `SeeYangZhi/BART-Base-CE-Sarcasm-Rewriter` — context-enhanced SFT
+- `SeeYangZhi/BART-Base-RL-Sarcasm-Rewriter` — REINFORCE on top of baseline
+- `SeeYangZhi/BART-Base-CE-RL-Sarcasm-Rewriter` — CE + RL (best)
+
+## License
+
+MIT, inheriting from `facebook/bart-base`. The NHDSD dataset is used under its
+original research-use terms.

config.json

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+{
+  "activation_dropout": 0.1,
+  "activation_function": "gelu",
+  "add_bias_logits": false,
+  "add_final_layer_norm": false,
+  "architectures": [
+    "BartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 0,
+  "classif_dropout": 0.1,
+  "classifier_dropout": 0.0,
+  "d_model": 768,
+  "decoder_attention_heads": 12,
+  "decoder_ffn_dim": 3072,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "dtype": "float32",
+  "encoder_attention_heads": 12,
+  "encoder_ffn_dim": 3072,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_decoder": false,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_position_embeddings": 1024,
+  "model_type": "bart",
+  "normalize_before": false,
+  "normalize_embedding": true,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "scale_embedding": false,
+  "task_specific_params": {
+    "summarization": {
+      "length_penalty": 1.0,
+      "max_length": 128,
+      "min_length": 12,
+      "num_beams": 4
+    },
+    "summarization_cnn": {
+      "length_penalty": 2.0,
+      "max_length": 142,
+      "min_length": 56,
+      "num_beams": 4
+    },
+    "summarization_xsum": {
+      "length_penalty": 1.0,
+      "max_length": 62,
+      "min_length": 11,
+      "num_beams": 6
+    }
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "use_cache": false,
+  "vocab_size": 50265
+}

generation_config.json

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+{
+  "_from_model_config": false,
+  "assistant_confidence_threshold": 0.4,
+  "assistant_lookbehind": 10,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "diversity_penalty": 0.0,
+  "do_sample": false,
+  "early_stopping": true,
+  "encoder_no_repeat_ngram_size": 0,
+  "encoder_repetition_penalty": 1.0,
+  "eos_token_id": [
+    2
+  ],
+  "epsilon_cutoff": 0.0,
+  "eta_cutoff": 0.0,
+  "forced_bos_token_id": 0,
+  "forced_eos_token_id": 2,
+  "length_penalty": 1.0,
+  "max_length": 20,
+  "min_length": 0,
+  "no_repeat_ngram_size": 3,
+  "num_assistant_tokens": 20,
+  "num_assistant_tokens_schedule": "constant",
+  "num_beam_groups": 1,
+  "num_beams": 4,
+  "num_return_sequences": 1,
+  "output_scores": false,
+  "pad_token_id": 1,
+  "remove_invalid_values": false,
+  "repetition_penalty": 1.0,
+  "return_dict_in_generate": false,
+  "target_lookbehind": 10,
+  "temperature": 1.0,
+  "top_k": 50,
+  "top_p": 1.0,
+  "transformers_version": "5.0.0",
+  "typical_p": 1.0,
+  "use_cache": true
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:af4733e40a7fe8c9d7ec747f31cbbb0d455523b5009be6485fecad862fc82677
+size 557912620

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "is_local": false,
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}