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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-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bart_qa_model
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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_qa_model
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+
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+ This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2453
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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: 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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+ - num_epochs: 3
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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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+ | No log | 1.0 | 250 | 1.4087 |
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+ | 1.9051 | 2.0 | 500 | 1.2457 |
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+ | 1.9051 | 3.0 | 750 | 1.2453 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ {
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+ "_name_or_path": "facebook/bart-base",
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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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+ "BartForQuestionAnswering"
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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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+ "d_model": 768,
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+ "decoder_layerdrop": 0.0,
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+ "early_stopping": true,
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+ "encoder_layerdrop": 0.0,
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+ "eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "max_position_embeddings": 1024,
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+ "normalize_before": false,
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+ "normalize_embedding": true,
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+ "num_beams": 4,
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+ }
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.36.2",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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