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Training complete

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: facebook/bart-large-cnn
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+ tags:
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+ - Code Generation
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+ - generated_from_trainer
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+ model-index:
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+ - name: bart-finetuned-cXg-nl-to-code
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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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+ # bart-finetuned-cXg-nl-to-code
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+
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+ This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 3.9866
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+ - eval_rouge1: 0.0521
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+ - eval_rouge2: 0.0051
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+ - eval_rougeL: 0.0444
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+ - eval_bleu: 0.5881
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+ - eval_meteor: 0.0687
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+ - eval_codebleu: 0.2509
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+ - eval_runtime: 145.8637
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+ - eval_samples_per_second: 0.069
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+ - eval_steps_per_second: 0.007
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+ - step: 0
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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: 2e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ {
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+ "_name_or_path": "facebook/bart-large-cnn",
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+ "_num_labels": 3,
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+ "activation_dropout": 0.0,
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+ "activation_function": "gelu",
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+ "add_final_layer_norm": false,
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+ "BartForConditionalGeneration"
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+ ],
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+ "decoder_layers": 12,
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+ "decoder_start_token_id": 2,
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+ "dropout": 0.1,
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+ "early_stopping": true,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 12,
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+ "eos_token_id": 2,
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+ "force_bos_token_to_be_generated": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.42.4",
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+ "use_cache": true,
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+ "vocab_size": 50264
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+ }
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