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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: facebook/bart-large-cnn
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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: amtibot_bart
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+ results: []
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+ library_name: peft
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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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+ # amtibot_bart
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+
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+ This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5905
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+ - Rouge1: 0.4051
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+ - Rouge2: 0.195
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+ - Rougel: 0.3054
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+ - Rougelsum: 0.3053
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+ - Gen Len: 65.7532
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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: 0.02
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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: 8
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+ - total_train_batch_size: 32
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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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+ - mixed_precision_training: Native AMP
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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 | 0.9351 | 9 | 1.6594 | 0.4057 | 0.1833 | 0.3052 | 0.3048 | 67.9481 |
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+ | 2.11 | 1.9740 | 19 | 1.6149 | 0.3938 | 0.192 | 0.3063 | 0.3058 | 64.8571 |
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+ | 1.554 | 2.9091 | 28 | 1.5842 | 0.3956 | 0.1872 | 0.3039 | 0.3033 | 65.8182 |
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+ | 1.3821 | 3.7403 | 36 | 1.5905 | 0.4051 | 0.195 | 0.3054 | 0.3053 | 65.7532 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.4.0
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+ - Transformers 4.40.1
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.19.1
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