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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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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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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: bart-summarizer
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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-summarizer
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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 None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.1898
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+ - Rouge1: 51.7683
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+ - Rouge2: 36.3956
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+ - Rougel: 45.7626
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+ - Rougelsum: 45.7512
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+ - Bert F1: 89.7697
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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: 1e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 16
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 5
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+ - mixed_precision_training: Native AMP
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+ - label_smoothing_factor: 0.1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bert F1 |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 2.48 | 1.0 | 766 | 2.3197 | 46.084 | 31.1672 | 40.7261 | 40.733 | 88.58 |
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+ | 2.203 | 2.0 | 1532 | 2.2230 | 49.9815 | 34.8577 | 44.2515 | 44.2457 | 89.3509 |
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+ | 2.1447 | 3.0 | 2298 | 2.1980 | 50.7333 | 35.3908 | 44.6146 | 44.6091 | 89.4589 |
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+ | 2.0614 | 4.0 | 3064 | 2.1907 | 51.6468 | 36.4567 | 45.7548 | 45.7343 | 89.7909 |
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+ | 2.0515 | 4.9941 | 3825 | 2.1898 | 51.7683 | 36.3956 | 45.7626 | 45.7512 | 89.7697 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.0
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.3.1
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+ - Tokenizers 0.21.0
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/bart-large",
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+ "activation_dropout": 0.1,
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+ "activation_function": "gelu",
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+ "add_bias_logits": false,
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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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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ }
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.47.0",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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