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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: gpt2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: codeparrot-ds
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # codeparrot-ds
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+
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+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 5.1291
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0005
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 256
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 10
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+ - num_epochs: 5
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 9.5166 | 0.2332 | 10 | 7.9560 |
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+ | 7.161 | 0.4665 | 20 | 6.8948 |
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+ | 6.7973 | 0.6997 | 30 | 6.7108 |
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+ | 6.4652 | 0.9329 | 40 | 6.3878 |
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+ | 6.1192 | 1.1662 | 50 | 6.1154 |
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+ | 5.842 | 1.3994 | 60 | 5.8976 |
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+ | 5.6262 | 1.6327 | 70 | 5.7493 |
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+ | 5.4633 | 1.8659 | 80 | 5.6221 |
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+ | 5.3212 | 2.0991 | 90 | 5.5376 |
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+ | 5.1513 | 2.3324 | 100 | 5.4584 |
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+ | 5.118 | 2.5656 | 110 | 5.3924 |
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+ | 4.9714 | 2.7988 | 120 | 5.3301 |
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+ | 4.9133 | 3.0321 | 130 | 5.2827 |
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+ | 4.7702 | 3.2653 | 140 | 5.2460 |
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+ | 4.7302 | 3.4985 | 150 | 5.2081 |
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+ | 4.6988 | 3.7318 | 160 | 5.1740 |
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+ | 4.6927 | 3.9650 | 170 | 5.1537 |
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+ | 4.6044 | 4.1983 | 180 | 5.1442 |
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+ | 4.5763 | 4.4315 | 190 | 5.1361 |
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+ | 4.5913 | 4.6647 | 200 | 5.1298 |
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+ | 4.5759 | 4.8980 | 210 | 5.1291 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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