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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/bart-large
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - arrow
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+ model-index:
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+ - name: RoBERTa_BART_dependent_V1
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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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+ # RoBERTa_BART_dependent_V1
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+
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+ This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the arrow dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.0440
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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: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 40
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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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+ | 3.6373 | 1.0 | 69 | 2.3204 |
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+ | 2.3663 | 2.0 | 138 | 2.1365 |
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+ | 2.1227 | 3.0 | 207 | 2.0728 |
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+ | 1.9855 | 4.0 | 276 | 2.0408 |
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+ | 1.8639 | 5.0 | 345 | 2.0079 |
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+ | 1.7594 | 6.0 | 414 | 1.9910 |
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+ | 1.6764 | 7.0 | 483 | 1.9874 |
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+ | 1.591 | 8.0 | 552 | 2.0108 |
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+ | 1.5216 | 9.0 | 621 | 2.0050 |
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+ | 1.4513 | 10.0 | 690 | 2.0319 |
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+ | 1.388 | 11.0 | 759 | 2.0372 |
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+ | 1.3333 | 12.0 | 828 | 2.0440 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.17.1
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+ - Tokenizers 0.19.1
config.json ADDED
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+ "_name_or_path": "facebook/bart-large",
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+ "activation_function": "gelu",
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+ "add_final_layer_norm": false,
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+ "architectures": [
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+ "BartForConditionalGeneration"
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+ ],
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+ "early_stopping": true,
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+ "transformers_version": "4.40.1",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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