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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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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: summarize_by_bart
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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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+ # summarize_by_bart
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5359
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+ - Rouge1: 0.1864
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+ - Rouge2: 0.1075
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+ - Rougel: 0.1648
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+ - Rougelsum: 0.1691
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+ - Gen Len: 20.0
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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: 4
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+ - eval_batch_size: 4
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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: 4
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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 | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 248 | 1.6562 | 0.1843 | 0.1021 | 0.1598 | 0.1647 | 20.0 |
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+ | No log | 2.0 | 496 | 1.5784 | 0.1849 | 0.1043 | 0.1631 | 0.1676 | 20.0 |
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+ | 1.8546 | 3.0 | 744 | 1.5589 | 0.1834 | 0.1069 | 0.1621 | 0.1662 | 20.0 |
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+ | 1.8546 | 4.0 | 992 | 1.5359 | 0.1864 | 0.1075 | 0.1648 | 0.1691 | 20.0 |
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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 2.1.2
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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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+ "attention_dropout": 0.1,
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+ "bos_token_id": 0,
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+ "classif_dropout": 0.1,
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+ "classifier_dropout": 0.0,
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+ "d_model": 1024,
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+ "decoder_attention_heads": 16,
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+ "decoder_ffn_dim": 4096,
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+ "decoder_layerdrop": 0.0,
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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_attention_heads": 16,
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+ "encoder_ffn_dim": 4096,
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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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+ "forced_bos_token_id": 0,
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "max_position_embeddings": 1024,
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+ "model_type": "bart",
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+ "no_repeat_ngram_size": 3,
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+ "normalize_before": false,
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+ "num_beams": 4,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "scale_embedding": false,
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+ "task_specific_params": {
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+ "summarization": {
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+ },
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+ "summarization_xsum": {
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+ "max_length": 62,
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+ "min_length": 11,
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+ "num_beams": 6
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+ }
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.2",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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