Update train.py
Browse files
train.py
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@@ -1,6 +1,13 @@
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from datasets import load_dataset
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from transformers import AutoTokenizer, AutoModelForSequenceClassification, Trainer, TrainingArguments
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import evaluate
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# 1. Load BiScope dataset
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dataset = load_dataset("HanxiGuo/BiScope_Data")
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@@ -14,7 +21,7 @@ def preprocess(examples):
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encoded_dataset = dataset.map(preprocess, batched=True)
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# 3.
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model = AutoModelForSequenceClassification.from_pretrained(MODEL, num_labels=2)
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# 4. Metrics
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@@ -35,8 +42,8 @@ training_args = TrainingArguments(
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per_device_eval_batch_size=16,
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num_train_epochs=2,
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weight_decay=0.01,
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push_to_hub=True,
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hub_model_id="yagnik12/
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)
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# 6. Trainer
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from datasets import load_dataset
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from transformers import AutoTokenizer, AutoModelForSequenceClassification, Trainer, TrainingArguments
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import evaluate
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from huggingface_hub import login
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# 🔑 Login to Hugging Face (add HF_TOKEN as a secret in your Space settings)
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import os
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hf_token = os.getenv("HF_TOKEN")
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if hf_token:
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login(hf_token)
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# 1. Load BiScope dataset
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dataset = load_dataset("HanxiGuo/BiScope_Data")
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encoded_dataset = dataset.map(preprocess, batched=True)
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# 3. Model
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model = AutoModelForSequenceClassification.from_pretrained(MODEL, num_labels=2)
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# 4. Metrics
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per_device_eval_batch_size=16,
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num_train_epochs=2,
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weight_decay=0.01,
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push_to_hub=True,
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hub_model_id="yagnik12/biscope-detector"
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)
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# 6. Trainer
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