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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-base
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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-base
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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: nan
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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: 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: 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: 6
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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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+ | 940437.376 | 0.32 | 250 | nan |
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+ | 0.0 | 0.64 | 500 | nan |
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+ | 0.0 | 0.96 | 750 | nan |
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+ | 0.0 | 1.28 | 1000 | nan |
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+ | 0.0 | 1.61 | 1250 | nan |
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+ | 0.0 | 1.93 | 1500 | nan |
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+ | 0.0 | 2.25 | 1750 | nan |
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+ | 0.0 | 2.57 | 2000 | nan |
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+ | 0.0 | 2.89 | 2250 | nan |
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+ | 0.0 | 3.21 | 2500 | nan |
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+ | 0.0 | 3.53 | 2750 | nan |
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+ | 0.0 | 3.85 | 3000 | nan |
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+ | 0.0 | 4.17 | 3250 | nan |
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+ | 0.0 | 4.49 | 3500 | nan |
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+ | 0.0 | 4.82 | 3750 | nan |
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+ | 0.0 | 5.14 | 4000 | nan |
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+ | 0.0 | 5.46 | 4250 | nan |
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+ | 0.0 | 5.78 | 4500 | nan |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.1
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+ - Tokenizers 0.15.2
config.json ADDED
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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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+ "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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+ "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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+ "max_position_embeddings": 1024,
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+ "model_type": "bart",
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+ "no_repeat_ngram_size": 3,
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+ "num_hidden_layers": 6,
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+ }
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.39.3",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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