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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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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: exercise_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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+ # exercise_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 the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7260
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+ - Accuracy: 0.45
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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: 18
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 5 | 5.9810 | 0.0 |
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+ | No log | 2.0 | 10 | 4.8367 | 0.1 |
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+ | No log | 3.0 | 15 | 4.2524 | 0.2 |
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+ | No log | 4.0 | 20 | 3.7825 | 0.3 |
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+ | No log | 5.0 | 25 | 3.4538 | 0.5 |
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+ | No log | 6.0 | 30 | 3.1687 | 0.5 |
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+ | No log | 7.0 | 35 | 2.8498 | 0.5 |
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+ | No log | 8.0 | 40 | 2.4818 | 0.5 |
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+ | No log | 9.0 | 45 | 2.2022 | 0.5 |
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+ | No log | 10.0 | 50 | 2.0670 | 0.45 |
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+ | No log | 11.0 | 55 | 1.9735 | 0.45 |
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+ | No log | 12.0 | 60 | 1.9018 | 0.45 |
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+ | No log | 13.0 | 65 | 1.8420 | 0.4 |
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+ | No log | 14.0 | 70 | 1.7969 | 0.4 |
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+ | No log | 15.0 | 75 | 1.7639 | 0.45 |
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+ | No log | 16.0 | 80 | 1.7433 | 0.45 |
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+ | No log | 17.0 | 85 | 1.7305 | 0.45 |
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+ | No log | 18.0 | 90 | 1.7260 | 0.45 |
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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 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
config.json ADDED
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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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+ "torch_dtype": "float32",
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+ }
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