Add files using upload-large-folder tool

src/api/main.py

@@ -0,0 +1,73 @@
+"""
+FastAPI server for the Dyslexia Academic Writing Corrector API.
+Provides RESTful endpoints for text correction and health checking.
+"""
+
+from fastapi import FastAPI, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from .schemas import CorrectionRequest, CorrectionResponse
+from ..inference.corrector import AcademicCorrector
+import yaml
+from loguru import logger
+
+app = FastAPI(
+    title="Dyslexia Academic Writing Corrector API",
+    description="Style-preserving grammar correction and academic vocabulary elevation.",
+    version="1.0.0",
+)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+# Global corrector instance
+corrector = None
+
+
+@app.on_event("startup")
+async def startup():
+    """Load config and initialise corrector on startup."""
+    global corrector
+    try:
+        with open("configs/inference_config.yaml") as f:
+            config = yaml.safe_load(f)
+        corrector = AcademicCorrector(config)
+        logger.info("Corrector loaded successfully on startup")
+    except Exception as e:
+        logger.error(f"Failed to load corrector on startup: {e}")
+        logger.warning("API will return 503 until corrector is loaded")
+
+
+@app.post("/correct", response_model=CorrectionResponse)
+async def correct_text(request: CorrectionRequest):
+    """Correct dyslectic text with style preservation and academic elevation."""
+    if corrector is None:
+        raise HTTPException(status_code=503, detail="Model not loaded yet")
+
+    try:
+        result = corrector.correct(
+            raw_text=request.text,
+            master_copy=request.master_copy,
+            style_alpha=request.style_alpha,
+        )
+        return CorrectionResponse(
+            original=result.original,
+            corrected=result.corrected,
+            style_similarity=result.style_similarity,
+            awl_coverage=result.awl_coverage,
+            readability=result.readability,
+            changes_summary=result.changes_summary,
+        )
+    except Exception as e:
+        logger.error(f"Correction failed: {e}")
+        raise HTTPException(status_code=500, detail=f"Correction failed: {str(e)}")
+
+
+@app.get("/health")
+async def health():
+    """Health check endpoint."""
+    model_status = "loaded" if corrector is not None else "not loaded"
+    return {"status": "ok", "model": model_status}

wandb/run-20260502_150043-2fg22e6p/files/config.yaml

@@ -0,0 +1,62 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            ctvdhvjxmmfiv36y4j8d2zdkd9kalos2:
+                codePath: scripts/pretrain_human_pattern_classifier.py
+                codePathLocal: scripts/pretrain_human_pattern_classifier.py
+                cpu_count: 8
+                cpu_count_logical: 16
+                cudaVersion: "13.2"
+                disk:
+                    /:
+                        total: "60248064"
+                        used: "60248064"
+                email: morpheuslord@protonmail.com
+                executable: /usr/bin/python3
+                gpu: NVIDIA GeForce RTX 3050 Laptop GPU
+                gpu_count: 1
+                gpu_nvidia:
+                    - architecture: Ampere
+                      cudaCores: 2048
+                      memoryTotal: "4294967296"
+                      name: NVIDIA GeForce RTX 3050 Laptop GPU
+                      uuid: GPU-861554d7-d187-39e9-e77c-881f0287b963
+                host: bazzite
+                memory:
+                    total: "32944783360"
+                os: Linux-6.17.7-ba29.fc43.x86_64-x86_64-with-glibc2.42
+                program: /run/media/morpheuslord/Personal_Files/Projects/Rewriter/scripts/pretrain_human_pattern_classifier.py
+                python: CPython 3.14.3
+                root: /run/media/morpheuslord/Personal_Files/Projects/Rewriter
+                startedAt: "2026-05-02T09:30:43.805829Z"
+                writerId: ctvdhvjxmmfiv36y4j8d2zdkd9kalos2
+        m: []
+        python_version: 3.14.3
+        t:
+            "1":
+                - 1
+                - 5
+                - 11
+                - 33
+                - 41
+                - 49
+                - 53
+                - 71
+            "2":
+                - 1
+                - 5
+                - 11
+                - 33
+                - 41
+                - 49
+                - 53
+                - 71
+            "3":
+                - 13
+                - 15
+            "4": 3.14.3
+            "5": 0.26.1
+            "6": 4.53.2
+            "12": 0.26.1
+            "13": linux-x86_64

wandb/run-20260502_150043-2fg22e6p/files/output.log

@@ -0,0 +1,95 @@
+2026-05-02 15:00:46.149 | INFO     | __main__:train_classifier:47 - Creating feature extractor...
+2026-05-02 15:00:46.507 | INFO     | src.training.human_pattern_extractor:__init__:77 - Loading GPT-2 for perplexity calculation...
+config.json: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 665/665 [00:00<00:00, 4.66MB/s]
+model.safetensors: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 548M/548M [01:22<00:00, 6.62MB/s]
+generation_config.json: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 124/124 [00:00<00:00, 66.4kB/s]
+tokenizer_config.json: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 26.0/26.0 [00:00<00:00, 18.8kB/s]
+vocab.json: 1.04MB [00:00, 2.78MB/s]
+merges.txt: 456kB [00:01, 343kB/s] 
+tokenizer.json: 1.36MB [00:00, 2.34MB/s]
+2026-05-02 15:02:20.960 | INFO     | src.training.human_pattern_extractor:__init__:83 - HumanPatternFeatureExtractor initialised
+2026-05-02 15:02:20.961 | INFO     | __main__:train_classifier:55 - Loading datasets...
+2026-05-02 15:02:20.963 | INFO     | src.training.human_pattern_extractor:__init__:241 - Loading Shanegerami dataset from data/raw/shanegerami/AI_Human.csv...
+2026-05-02 15:02:37.430 | INFO     | src.training.human_pattern_extractor:__init__:273 - Shanegerami: 50000 human + 47084 AI samples
+2026-05-02 15:02:37.432 | INFO     | src.training.human_pattern_extractor:__init__:278 - Loading Starblasters8 dataset from data/raw/starblasters8/data.parquet...
+2026-05-02 15:03:01.100 | INFO     | src.training.human_pattern_extractor:__init__:308 - Starblasters8: 0 human + 0 AI samples
+2026-05-02 15:03:01.100 | INFO     | src.training.human_pattern_extractor:__init__:312 - Total dataset size: 97084 samples
+2026-05-02 15:03:01.247 | INFO     | src.training.human_pattern_extractor:precompute_features:323 - Pre-computing features for all texts...
+2026-05-02 15:03:01.247 | INFO     | src.training.human_pattern_extractor:precompute_features:327 -   Feature extraction: 0/97084
+`loss_type=None` was set in the config but it is unrecognised.Using the default loss: `ForCausalLMLoss`.
+2026-05-02 15:41:36.437 | INFO     | src.training.human_pattern_extractor:precompute_features:327 -   Feature extraction: 1000/97084
+2026-05-02 16:21:21.037 | INFO     | src.training.human_pattern_extractor:precompute_features:327 -   Feature extraction: 2000/97084
+Traceback (most recent call last):
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/scripts/pretrain_human_pattern_classifier.py", line 201, in <module>
+    train_classifier()
+    ~~~~~~~~~~~~~~~~^^
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/scripts/pretrain_human_pattern_classifier.py", line 68, in train_classifier
+    dataset.precompute_features()
+    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/src/training/human_pattern_extractor.py", line 330, in precompute_features
+    feat = self.extractor.extract(truncated)
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/src/training/human_pattern_extractor.py", line 178, in extract
+    features.append(self._perplexity(text))
+                    ~~~~~~~~~~~~~~~~^^^^^^
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/src/training/human_pattern_extractor.py", line 97, in _perplexity
+    outputs = self.gpt2_model(input_ids, labels=input_ids)
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1189, in forward
+    transformer_outputs = self.transformer(
+        input_ids,
+    ...<12 lines>...
+        return_dict=return_dict,
+    )
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
+    outputs = block(
+        hidden_states,
+    ...<8 lines>...
+        **kwargs,
+    )
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/transformers/modeling_layers.py", line 83, in __call__
+    return super().__call__(*args, **kwargs)
+           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
+    return func(*args, **kwargs)
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
+    attn_output, self_attn_weights = self.attn(
+                                     ~~~~~~~~~^
+        hidden_states,
+        ^^^^^^^^^^^^^^
+    ...<6 lines>...
+        **kwargs,
+        ^^^^^^^^^
+    )
+    ^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
+    return func(*args, **kwargs)
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
+    query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
+                                             ~~~~~~~~~~~^^^^^^^^^^^^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/transformers/pytorch_utils.py", line 115, in forward
+    x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
+KeyboardInterrupt

wandb/run-20260502_150043-2fg22e6p/files/requirements.txt

@@ -0,0 +1,345 @@
+Pygments==2.19.2
+pluggy==1.6.0
+iniconfig==2.3.0
+pytest==9.0.2
+sqlite-vec==0.1.6
+peewee==3.19.0
+boltons==21.0.0
+zipp==3.23.0
+wrapt==1.17.3
+tree-sitter-python==0.25.0
+tree-sitter-javascript==0.25.0
+tree-sitter-java==0.23.5
+tree-sitter-cpp==0.23.4
+tree-sitter-c==0.24.1
+tree-sitter==0.25.2
+tqdm==4.67.3
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+smmap==5.0.3
+shellingham==1.5.4
+semantic-version==2.10.0
+ruamel.yaml.clib==0.2.14
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+PyJWT==2.11.0
+protobuf==6.33.5
+opentelemetry-util-http==0.58b0
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+mdurl==0.1.2
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wandb/run-20260502_165105-pwnhqrrf/files/output.log

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+2026-05-02 16:51:13.082 | INFO     | __main__:train_classifier:47 - Creating feature extractor...
+2026-05-02 16:51:13.084 | INFO     | src.training.human_pattern_extractor:__init__:166 - Loading GPT-2 for perplexity calculation...
+2026-05-02 16:51:18.487 | INFO     | src.training.human_pattern_extractor:__init__:178 - GPT-2 loaded on cuda with fp16
+2026-05-02 16:51:18.488 | INFO     | src.training.human_pattern_extractor:__init__:182 - HumanPatternFeatureExtractor initialised
+2026-05-02 16:51:18.489 | INFO     | __main__:train_classifier:55 - Loading datasets...
+2026-05-02 16:51:18.490 | INFO     | src.training.human_pattern_extractor:__init__:371 - Loading Shanegerami dataset from data/raw/shanegerami/AI_Human.csv...
+2026-05-02 16:51:43.650 | INFO     | src.training.human_pattern_extractor:__init__:403 - Shanegerami: 50000 human + 47084 AI samples
+2026-05-02 16:51:43.651 | INFO     | src.training.human_pattern_extractor:__init__:408 - Loading Starblasters8 dataset from data/raw/starblasters8/data.parquet...
+2026-05-02 16:52:15.944 | INFO     | src.training.human_pattern_extractor:__init__:438 - Starblasters8: 0 human + 0 AI samples
+2026-05-02 16:52:15.946 | INFO     | src.training.human_pattern_extractor:__init__:442 - Total dataset size: 97084 samples
+2026-05-02 16:52:17.493 | INFO     | src.training.human_pattern_extractor:precompute_features:453 - Pre-computing features for all texts...
+2026-05-02 16:52:17.620 | INFO     | src.training.human_pattern_extractor:extract_batch:301 - Extracting features for 97084 texts (device=cuda, batch_size=64)
+2026-05-02 16:52:17.620 | INFO     | src.training.human_pattern_extractor:extract_batch:304 -   Computing batched GPT-2 perplexity...
+Traceback (most recent call last):
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/scripts/pretrain_human_pattern_classifier.py", line 201, in <module>
+    train_classifier()
+    ~~~~~~~~~~~~~~~~^^
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/scripts/pretrain_human_pattern_classifier.py", line 68, in train_classifier
+    dataset.precompute_features()
+    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/src/training/human_pattern_extractor.py", line 462, in precompute_features
+    features_array = self.extractor.extract_batch(
+        truncated_texts,
+    ...<2 lines>...
+        progress_every=2000,
+    )
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/src/training/human_pattern_extractor.py", line 309, in extract_batch
+    ppl_batch = self._perplexity_batch(batch, batch_size=len(batch))
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/src/training/human_pattern_extractor.py", line 227, in _perplexity_batch
+    outputs = self.gpt2_model(
+        input_ids,
+        attention_mask=attention_mask,
+    )
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1213, in forward
+    logits = self.lm_head(hidden_states[:, slice_indices, :])
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/linear.py", line 134, in forward
+    return F.linear(input, self.weight, self.bias)
+           ~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.79 GiB. GPU 0 has a total capacity of 3.68 GiB of which 1.12 GiB is free. Including non-PyTorch memory, this process has 2.56 GiB memory in use. Of the allocated memory 1.84 GiB is allocated by PyTorch, and 638.18 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)

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wandb/run-20260502_165541-4d797dih/files/output.log

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+2026-05-02 16:55:48.234 | INFO     | __main__:train_classifier:47 - Creating feature extractor...
+2026-05-02 16:55:48.236 | INFO     | src.training.human_pattern_extractor:__init__:166 - Loading GPT-2 for perplexity calculation...
+2026-05-02 16:55:52.640 | INFO     | src.training.human_pattern_extractor:__init__:178 - GPT-2 loaded on cuda with fp16
+2026-05-02 16:55:52.641 | INFO     | src.training.human_pattern_extractor:__init__:182 - HumanPatternFeatureExtractor initialised
+2026-05-02 16:55:52.641 | INFO     | __main__:train_classifier:55 - Loading datasets...
+2026-05-02 16:55:52.641 | INFO     | src.training.human_pattern_extractor:__init__:385 - Loading Shanegerami dataset from data/raw/shanegerami/AI_Human.csv...
+2026-05-02 16:55:54.979 | INFO     | src.training.human_pattern_extractor:__init__:417 - Shanegerami: 50000 human + 47084 AI samples
+2026-05-02 16:55:54.979 | INFO     | src.training.human_pattern_extractor:__init__:422 - Loading Starblasters8 dataset from data/raw/starblasters8/data.parquet...
+2026-05-02 16:56:30.629 | INFO     | src.training.human_pattern_extractor:__init__:452 - Starblasters8: 0 human + 0 AI samples
+2026-05-02 16:56:30.629 | INFO     | src.training.human_pattern_extractor:__init__:456 - Total dataset size: 97084 samples
+2026-05-02 16:56:30.767 | INFO     | src.training.human_pattern_extractor:precompute_features:467 - Pre-computing features for all texts...
+Traceback (most recent call last):
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/scripts/pretrain_human_pattern_classifier.py", line 201, in <module>
+    train_classifier()
+    ~~~~~~~~~~~~~~~~^^
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/scripts/pretrain_human_pattern_classifier.py", line 68, in train_classifier
+    dataset.precompute_features()
+    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/src/training/human_pattern_extractor.py", line 476, in precompute_features
+    features_array = self.extractor.extract_batch(
+        truncated_texts,
+    ...<2 lines>...
+        progress_every=2000,
+    )
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/src/training/human_pattern_extractor.py", line 311, in extract_batch
+    vram_gb = torch.cuda.get_device_properties(0).total_mem / (1024**3)
+              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+AttributeError: 'torch._C._CudaDeviceProperties' object has no attribute 'total_mem'. Did you mean: 'total_memory'?

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+2026-05-02 16:59:33.098 | INFO     | __main__:train_classifier:47 - Creating feature extractor...
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+2026-05-02 16:59:38.278 | INFO     | src.training.human_pattern_extractor:__init__:385 - Loading Shanegerami dataset from data/raw/shanegerami/AI_Human.csv...
+2026-05-02 17:00:03.274 | INFO     | src.training.human_pattern_extractor:__init__:417 - Shanegerami: 50000 human + 47084 AI samples
+2026-05-02 17:00:03.277 | INFO     | src.training.human_pattern_extractor:__init__:422 - Loading Starblasters8 dataset from data/raw/starblasters8/data.parquet...
+2026-05-02 17:00:47.301 | INFO     | src.training.human_pattern_extractor:__init__:452 - Starblasters8: 0 human + 0 AI samples
+2026-05-02 17:00:47.302 | INFO     | src.training.human_pattern_extractor:__init__:456 - Total dataset size: 97084 samples
+2026-05-02 17:00:47.436 | INFO     | src.training.human_pattern_extractor:precompute_features:467 - Pre-computing features for all texts...
+2026-05-02 17:00:47.499 | INFO     | src.training.human_pattern_extractor:extract_batch:315 - Extracting features for 97084 texts (device=cuda, batch_size=4)
+2026-05-02 17:00:47.499 | INFO     | src.training.human_pattern_extractor:extract_batch:318 -   Computing batched GPT-2 perplexity...
+2026-05-02 17:03:48.269 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 2000/97084
+2026-05-02 17:06:52.328 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 4000/97084
+2026-05-02 17:09:42.803 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 6000/97084
+2026-05-02 17:12:32.147 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 8000/97084
+2026-05-02 17:15:28.491 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 10000/97084
+2026-05-02 17:18:26.100 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 12000/97084
+2026-05-02 17:21:23.841 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 14000/97084
+2026-05-02 17:24:21.661 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 16000/97084
+2026-05-02 17:27:18.949 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 18000/97084
+2026-05-02 17:30:16.258 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 20000/97084
+2026-05-02 17:32:49.532 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 22000/97084
+2026-05-02 17:35:34.706 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 24000/97084
+2026-05-02 17:38:26.363 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 26000/97084
+2026-05-02 17:41:23.769 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 28000/97084
+2026-05-02 17:44:21.113 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 30000/97084
+2026-05-02 17:47:19.585 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 32000/97084
+2026-05-02 17:50:12.598 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 34000/97084
+2026-05-02 17:52:57.543 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 36000/97084
+2026-05-02 17:55:53.031 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 38000/97084
+2026-05-02 17:58:47.047 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 40000/97084
+2026-05-02 18:01:43.573 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 42000/97084
+2026-05-02 18:04:39.768 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 44000/97084
+2026-05-02 18:07:36.468 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 46000/97084
+2026-05-02 18:10:33.510 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 48000/97084
+2026-05-02 18:13:30.330 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 50000/97084
+2026-05-02 18:16:24.970 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 52000/97084
+2026-05-02 18:19:14.763 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 54000/97084
+2026-05-02 18:21:56.524 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 56000/97084
+2026-05-02 18:24:42.120 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 58000/97084
+2026-05-02 18:27:38.416 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 60000/97084
+2026-05-02 18:30:40.846 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 62000/97084
+2026-05-02 18:33:36.902 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 64000/97084
+2026-05-02 18:36:30.780 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 66000/97084
+2026-05-02 18:39:18.829 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 68000/97084
+2026-05-02 18:42:12.602 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 70000/97084
+2026-05-02 18:45:10.321 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 72000/97084
+2026-05-02 18:48:07.021 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 74000/97084
+2026-05-02 18:51:02.596 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 76000/97084
+2026-05-02 18:53:57.972 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 78000/97084
+2026-05-02 18:56:45.070 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 80000/97084
+2026-05-02 18:59:25.017 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 82000/97084
+2026-05-02 19:02:08.753 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 84000/97084
+2026-05-02 19:04:50.009 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 86000/97084
+2026-05-02 19:07:33.308 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 88000/97084
+2026-05-02 19:10:19.266 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 90000/97084
+2026-05-02 19:13:15.033 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 92000/97084
+2026-05-02 19:16:11.105 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 94000/97084
+2026-05-02 19:19:06.956 | INFO     | src.training.human_pattern_extractor:extract_batch:327 -     Perplexity: 96000/97084
+2026-05-02 19:20:42.167 | INFO     | src.training.human_pattern_extractor:extract_batch:329 -     Perplexity complete: 97084/97084
+2026-05-02 19:20:42.169 | INFO     | src.training.human_pattern_extractor:extract_batch:332 -   Computing text features (parallel)...
+2026-05-02 19:21:02.059 | INFO     | src.training.human_pattern_extractor:extract_batch:355 -     Text features: 2000/97084
+2026-05-02 19:21:02.369 | INFO     | src.training.human_pattern_extractor:extract_batch:355 -     Text features: 4000/97084
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+2026-05-02 19:21:02.938 | INFO     | src.training.human_pattern_extractor:extract_batch:355 -     Text features: 8000/97084
+2026-05-02 19:21:03.257 | INFO     | src.training.human_pattern_extractor:extract_batch:355 -     Text features: 10000/97084
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+2026-05-02 19:21:04.199 | INFO     | src.training.human_pattern_extractor:extract_batch:355 -     Text features: 16000/97084
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+2026-05-02 19:21:14.608 | INFO     | src.training.human_pattern_extractor:extract_batch:355 -     Text features: 82000/97084
+2026-05-02 19:21:14.915 | INFO     | src.training.human_pattern_extractor:extract_batch:355 -     Text features: 84000/97084
+2026-05-02 19:21:15.214 | INFO     | src.training.human_pattern_extractor:extract_batch:355 -     Text features: 86000/97084
+2026-05-02 19:21:15.528 | INFO     | src.training.human_pattern_extractor:extract_batch:355 -     Text features: 88000/97084
+2026-05-02 19:21:15.836 | INFO     | src.training.human_pattern_extractor:extract_batch:355 -     Text features: 90000/97084
+2026-05-02 19:21:16.134 | INFO     | src.training.human_pattern_extractor:extract_batch:355 -     Text features: 92000/97084
+2026-05-02 19:21:16.432 | INFO     | src.training.human_pattern_extractor:extract_batch:355 -     Text features: 94000/97084
+2026-05-02 19:21:16.569 | INFO     | src.training.human_pattern_extractor:extract_batch:355 -     Text features: 96000/97084
+2026-05-02 19:21:16.601 | INFO     | src.training.human_pattern_extractor:extract_batch:357 -     Text features complete: 97084/97084
+2026-05-02 19:21:16.656 | INFO     | src.training.human_pattern_extractor:precompute_features:486 - Feature pre-computation complete
+2026-05-02 19:21:16.690 | INFO     | __main__:train_classifier:84 - Train: 77668 | Val: 19416 | Batch size: 512
+2026-05-02 19:21:17.999 | INFO     | __main__:train_classifier:163 - Epoch 1/20 | Train Loss: 0.3039 Acc: 0.8751 AUC: 0.9472 | Val Loss: 0.1768 Acc: 0.9323 AUC: 0.9843
+2026-05-02 19:21:18.004 | INFO     | __main__:train_classifier:187 -   ✓ New best AUC: 0.9843 — saved to checkpoints/human_pattern_classifier.pt
+2026-05-02 19:21:18.004 | INFO     | __main__:train_classifier:191 - Target AUC 0.88 reached at epoch 1! Stopping.
+2026-05-02 19:21:18.004 | INFO     | __main__:train_classifier:194 - 
+Pre-training complete. Best AUC: 0.9843

wandb/run-20260502_165926-36ppiwlg/files/requirements.txt

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wandb/run-20260502_192151-h1jq4pkw/files/config.yaml

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+        cli_version: 0.26.1
+        e:
+            ctqnlqz7pd6w5gfhu9nwe0ffxaygrcig:
+                args:
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+                    - configs/training_config.yaml
+                    - --use-v2-loss
+                codePath: scripts/train.py
+                codePathLocal: scripts/train.py
+                cpu_count: 8
+                cpu_count_logical: 16
+                cudaVersion: "13.2"
+                disk:
+                    /:
+                        total: "60248064"
+                        used: "60248064"
+                email: morpheuslord@protonmail.com
+                executable: /usr/bin/python3
+                gpu: NVIDIA GeForce RTX 3050 Laptop GPU
+                gpu_count: 1
+                gpu_nvidia:
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+                      cudaCores: 2048
+                      memoryTotal: "4294967296"
+                      name: NVIDIA GeForce RTX 3050 Laptop GPU
+                      uuid: GPU-861554d7-d187-39e9-e77c-881f0287b963
+                host: bazzite
+                memory:
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+                program: /run/media/morpheuslord/Personal_Files/Projects/Rewriter/scripts/train.py
+                python: CPython 3.14.3
+                root: /run/media/morpheuslord/Personal_Files/Projects/Rewriter
+                startedAt: "2026-05-02T13:51:51.017926Z"
+                writerId: ctqnlqz7pd6w5gfhu9nwe0ffxaygrcig
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+        python_version: 3.14.3
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+data:
+    value:
+        augment_synthetic: true
+        max_input_length: 512
+        max_target_length: 512
+        synthetic_ratio: 0.3
+        test_path: data/processed/test.jsonl
+        train_path: data/processed/train.jsonl
+        val_path: data/processed/val.jsonl
+generation:
+    value:
+        early_stopping: true
+        length_penalty: 1
+        max_new_tokens: 512
+        min_length: 10
+        no_repeat_ngram_size: 3
+        num_beams: 5
+human_pattern:
+    value:
+        classifier_path: checkpoints/human_pattern_classifier.pt
+        max_samples_per_source: 50000
+        pretrain_batch_size: 512
+        pretrain_epochs: 20
+        pretrain_lr: 0.001
+        shanegerami_path: data/raw/shanegerami/AI_Human.csv
+        starblasters_path: data/raw/starblasters8/data.parquet
+        target_auc: 0.88
+lora:
+    value:
+        lora_alpha: 32
+        lora_dropout: 0.05
+        r: 16
+        target_modules:
+            - q
+            - v
+            - k
+            - o
+            - wi_0
+            - wi_1
+            - wo
+loss:
+    value:
+        lambda_human_pattern: 0.4
+        lambda_semantic: 0.5
+        lambda_style: 0.3
+        sem_model_name: all-mpnet-base-v2
+model:
+    value:
+        key: flan-t5-xl
+        quantize: false
+        use_lora: true
+training:
+    value:
+        bf16: true
+        dataloader_num_workers: 4
+        eval_steps: 500
+        evaluation_strategy: steps
+        fp16: false
+        gradient_accumulation_steps: 4
+        greater_is_better: false
+        learning_rate: 0.0003
+        load_best_model_at_end: true
+        logging_dir: logs/
+        logging_steps: 50
+        lr_scheduler_type: cosine
+        metric_for_best_model: eval_loss
+        num_train_epochs: 5
+        output_dir: checkpoints/
+        per_device_eval_batch_size: 16
+        per_device_train_batch_size: 8
+        push_to_hub: false
+        report_to:
+            - wandb
+            - tensorboard
+        save_steps: 500
+        save_strategy: steps
+        save_total_limit: 3
+        seed: 42
+        warmup_ratio: 0.05
+        weight_decay: 0.01

wandb/run-20260502_192151-h1jq4pkw/files/output.log

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+2026-05-02 19:21:53.355 | INFO     | __main__:train:59 - Step 3: Loading model and tokenizer...
+2026-05-02 19:21:53.355 | INFO     | src.model.base_model:load_model_and_tokenizer:55 - Loading model: google/flan-t5-xl (seq2seq=True, quantize=False, lora=True)
+tokenizer_config.json: 2.54kB [00:00, 7.77MB/s]
+spiece.model: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 792k/792k [00:02<00:00, 301kB/s]
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+special_tokens_map.json: 2.20kB [00:00, 6.17MB/s]
+config.json: 1.44kB [00:00, 4.07MB/s]
+model.safetensors.index.json: 53.0kB [00:00, 139MB/s]
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+model-00001-of-00002.safetensors: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9.45G/9.45G [32:12<00:00, 4.89MB/s]
+Fetching 2 files: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [32:13<00:00, 966.62s/it]
+Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:15<00:00,  7.75s/it]
+generation_config.json: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 147/147 [00:00<00:00, 31.0kB/s]
+Traceback (most recent call last):
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/scripts/train.py", line 207, in <module>
+    train()
+    ~~~~~^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/click/core.py", line 1485, in __call__
+    return self.main(*args, **kwargs)
+           ~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/click/core.py", line 1406, in main
+    rv = self.invoke(ctx)
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/click/core.py", line 1269, in invoke
+    return ctx.invoke(self.callback, **ctx.params)
+           ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/click/core.py", line 824, in invoke
+    return callback(*args, **kwargs)
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/scripts/train.py", line 60, in train
+    model, tokenizer, is_seq2seq = load_model_and_tokenizer(
+                                   ~~~~~~~~~~~~~~~~~~~~~~~~^
+        model_key=model_cfg.get("key", "flan-t5-large"),
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    ...<2 lines>...
+        lora_config_dict=lora_cfg,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^
+    )
+    ^
+  File "/run/media/morpheuslord/Personal_Files/Projects/Rewriter/src/model/base_model.py", line 97, in load_model_and_tokenizer
+    model = model.to(device)
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/transformers/modeling_utils.py", line 4110, in to
+    return super().to(*args, **kwargs)
+           ~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1384, in to
+    return self._apply(convert)
+           ~~~~~~~~~~~^^^^^^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+    ~~~~~~~~~~~~~^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+    ~~~~~~~~~~~~~^^^^
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 934, in _apply
+    module._apply(fn)
+    ~~~~~~~~~~~~~^^^^
+  [Previous line repeated 4 more times]
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 965, in _apply
+    param_applied = fn(param)
+  File "/home/morpheuslord/.local/lib/python3.14/site-packages/torch/nn/modules/module.py", line 1370, in convert
+    return t.to(
+           ~~~~^
+        device,
+        ^^^^^^^
+        dtype if t.is_floating_point() or t.is_complex() else None,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+        non_blocking,
+        ^^^^^^^^^^^^^
+    )
+    ^
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 3.68 GiB of which 3.25 MiB is free. Including non-PyTorch memory, this process has 3.67 GiB memory in use. Of the allocated memory 3.28 GiB is allocated by PyTorch, and 329.71 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)

wandb/run-20260502_192151-h1jq4pkw/files/requirements.txt

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wandb/run-20260503_121312-l9gn41e7/files/config.yaml

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+_name_or_path:
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+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            n2byuziqh33uxapt3z4njafykopx599x:
+                args:
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+                    - configs/training_config.yaml
+                    - --use-v2-loss
+                codePath: scripts/train.py
+                codePathLocal: scripts/train.py
+                cpu_count: 8
+                cpu_count_logical: 16
+                cudaVersion: "13.2"
+                disk:
+                    /:
+                        total: "65773568"
+                        used: "65773568"
+                email: morpheuslord@protonmail.com
+                executable: /usr/bin/python3
+                gpu: NVIDIA GeForce RTX 3050 Laptop GPU
+                gpu_count: 1
+                gpu_nvidia:
+                    - architecture: Ampere
+                      cudaCores: 2048
+                      memoryTotal: "4294967296"
+                      name: NVIDIA GeForce RTX 3050 Laptop GPU
+                      uuid: GPU-861554d7-d187-39e9-e77c-881f0287b963
+                host: bazzite
+                memory:
+                    total: "32939671552"
+                os: Linux-6.19.14-ogc1.1.fc44.x86_64-x86_64-with-glibc2.43
+                program: /run/media/morpheuslord/Personal_Files/Projects/Rewriter/scripts/train.py
+                python: CPython 3.14.4
+                root: /run/media/morpheuslord/Personal_Files/Projects/Rewriter
+                startedAt: "2026-05-03T06:43:12.500309Z"
+                writerId: n2byuziqh33uxapt3z4njafykopx599x
+        m:
+            - "1": train/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
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+        python_version: 3.14.4
+        t:
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+            "5": 0.26.1
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+            "9":
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+            "12": 0.26.1
+            "13": linux-x86_64
+accelerator_config:
+    value:
+        dispatch_batches: null
+        even_batches: true
+        gradient_accumulation_kwargs: null
+        non_blocking: false
+        split_batches: false
+        use_seedable_sampler: true
+adafactor:
+    value: false
+adam_beta1:
+    value: 0.9
+adam_beta2:
+    value: 0.999
+adam_epsilon:
+    value: 1e-08
+add_cross_attention:
+    value: false
+architectures:
+    value:
+        - T5ForConditionalGeneration
+auto_find_batch_size:
+    value: false
+average_tokens_across_devices:
+    value: false
+bad_words_ids:
+    value: null
+batch_eval_metrics:
+    value: false
+begin_suppress_tokens:
+    value: null
+bf16:
+    value: true
+bf16_full_eval:
+    value: false
+bos_token_id:
+    value: null
+chunk_size_feed_forward:
+    value: 0
+classifier_dropout:
+    value: 0
+cross_attention_hidden_size:
+    value: null
+d_ff:
+    value: 1024
+d_kv:
+    value: 64
+d_model:
+    value: 512
+data:
+    value:
+        augment_synthetic: true
+        max_input_length: 128
+        max_target_length: 128
+        synthetic_ratio: 0.3
+        test_path: data/processed/test.jsonl
+        train_path: data/processed/train.jsonl
+        val_path: data/processed/val.jsonl
+data_seed:
+    value: null
+dataloader_drop_last:
+    value: false
+dataloader_num_workers:
+    value: 0
+dataloader_persistent_workers:
+    value: false
+dataloader_pin_memory:
+    value: true
+dataloader_prefetch_factor:
+    value: null
+ddp_backend:
+    value: null
+ddp_broadcast_buffers:
+    value: null
+ddp_bucket_cap_mb:
+    value: null
+ddp_find_unused_parameters:
+    value: null
+ddp_timeout:
+    value: 1800
+debug:
+    value: []
+decoder_start_token_id:
+    value: 0
+deepspeed:
+    value: null
+dense_act_fn:
+    value: gelu_new
+disable_tqdm:
+    value: false
+diversity_penalty:
+    value: 0
+do_eval:
+    value: true
+do_predict:
+    value: false
+do_sample:
+    value: false
+do_train:
+    value: false
+dropout_rate:
+    value: 0.1
+early_stopping:
+    value: false
+encoder_no_repeat_ngram_size:
+    value: 0
+eos_token_id:
+    value: 1
+eval_accumulation_steps:
+    value: null
+eval_delay:
+    value: 0
+eval_do_concat_batches:
+    value: true
+eval_on_start:
+    value: false
+eval_steps:
+    value: 100
+eval_strategy:
+    value: steps
+eval_use_gather_object:
+    value: false
+exponential_decay_length_penalty:
+    value: null
+feed_forward_proj:
+    value: gated-gelu
+finetuning_task:
+    value: null
+forced_bos_token_id:
+    value: null
+forced_eos_token_id:
+    value: null
+fp16:
+    value: false
+fp16_backend:
+    value: auto
+fp16_full_eval:
+    value: false
+fp16_opt_level:
+    value: O1
+fsdp:
+    value: []
+fsdp_config:
+    value:
+        min_num_params: 0
+        xla: false
+        xla_fsdp_grad_ckpt: false
+        xla_fsdp_v2: false
+fsdp_min_num_params:
+    value: 0
+fsdp_transformer_layer_cls_to_wrap:
+    value: null
+full_determinism:
+    value: false
+generation:
+    value:
+        early_stopping: true
+        length_penalty: 1
+        max_new_tokens: 512
+        min_length: 10
+        no_repeat_ngram_size: 3
+        num_beams: 5
+gradient_accumulation_steps:
+    value: 8
+gradient_checkpointing:
+    value: false
+gradient_checkpointing_kwargs:
+    value: null
+greater_is_better:
+    value: false
+group_by_length:
+    value: false
+half_precision_backend:
+    value: auto
+hub_always_push:
+    value: false
+hub_model_id:
+    value: null
+hub_private_repo:
+    value: null
+hub_revision:
+    value: null
+hub_strategy:
+    value: every_save
+hub_token:
+    value: <HUB_TOKEN>
+human_pattern:
+    value:
+        classifier_path: checkpoints/human_pattern_classifier.pt
+        max_samples_per_source: 50000
+        pretrain_batch_size: 512
+        pretrain_epochs: 20
+        pretrain_lr: 0.001
+        shanegerami_path: data/raw/shanegerami/AI_Human.csv
+        starblasters_path: data/raw/starblasters8/data.parquet
+        target_auc: 0.88
+id2label:
+    value:
+        "0": LABEL_0
+        "1": LABEL_1
+ignore_data_skip:
+    value: false
+include_for_metrics:
+    value: []
+include_inputs_for_metrics:
+    value: false
+include_num_input_tokens_seen:
+    value: false
+include_tokens_per_second:
+    value: false
+initializer_factor:
+    value: 1
+is_decoder:
+    value: false
+is_encoder_decoder:
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