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Training in progress, epoch 1

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - sacrebleu
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+ model-index:
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+ - name: Bart-tay-Theme
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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-tay-Theme
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.7829
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+ - Sacrebleu: 10.5185
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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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Sacrebleu |
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+ |:-------------:|:-----:|:-----:|:---------------:|:---------:|
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+ | 3.6927 | 1.0 | 3624 | 3.5412 | 3.0416 |
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+ | 2.7908 | 2.0 | 7248 | 2.9795 | 8.1602 |
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+ | 2.4551 | 3.0 | 10872 | 2.7829 | 10.5185 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 5.0.0
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+ - Pytorch 2.10.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.2
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+ {
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+ "activation_dropout": 0.0,
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+ "activation_function": "gelu",
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+ "architectures": [
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+ "BartForConditionalGeneration"
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+ ],
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+ "id2label": {
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+ "init_std": 0.02,
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+ "max_position_embeddings": 1024,
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+ "model_type": "bart",
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+ "num_hidden_layers": 12,
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+ }
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