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update
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@ -30,6 +30,7 @@ Validation set length: 55
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Test set length: 110
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--------------------------------------------------
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Device: cpu
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--------------------------------------------------
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File already exists and is up-to-date: gpt2/355M/checkpoint
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File already exists and is up-to-date: gpt2/355M/encoder.json
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File already exists and is up-to-date: gpt2/355M/hparams.json
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@ -50,7 +51,7 @@ Training completed in 15.66 minutes.
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Plot saved as loss-plot-standalone.pdf
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--------------------------------------------------
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Generating responses
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100%|██████████████████████████████████████████████████████████████████████████| 110/110 [06:57<00:00, 3.80s/it]
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100%|█████████████████████████████████████████████████████████| 110/110 [06:57<00:00, 3.80s/it]
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Responses saved as instruction-data-with-response-standalone.json
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Model saved as gpt2-medium355M-sft-standalone.pth
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```
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@ -185,6 +185,8 @@ def main():
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tokenizer = tiktoken.get_encoding("gpt2")
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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print("Device:", device)
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print(50*"-")
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customized_collate_fn = partial(custom_collate_fn, device=device, allowed_max_length=1024)
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num_workers = 0
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