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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: google-t5/t5-small
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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: tidy-tab-model-t5-small
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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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+ # tidy-tab-model-t5-small
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+
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+ This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0120
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+ - Rouge1: 0.7424
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+ - Rouge2: 0.6202
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+ - Rougel: 0.7365
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+ - Rougelsum: 0.7347
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+ - Gen Len: 7.0385
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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: 8
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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 | 1.0 | 132 | 1.2896 | 0.6823 | 0.5884 | 0.6755 | 0.6759 | 8.9744 |
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+ | No log | 2.0 | 264 | 1.1210 | 0.7277 | 0.6094 | 0.7187 | 0.7176 | 7.5342 |
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+ | No log | 3.0 | 396 | 1.0676 | 0.7358 | 0.6136 | 0.7287 | 0.7273 | 7.3077 |
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+ | 1.5149 | 4.0 | 528 | 1.0409 | 0.7462 | 0.6233 | 0.7386 | 0.7367 | 7.1368 |
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+ | 1.5149 | 5.0 | 660 | 1.0277 | 0.7464 | 0.6233 | 0.7387 | 0.7367 | 7.1068 |
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+ | 1.5149 | 6.0 | 792 | 1.0186 | 0.7463 | 0.6229 | 0.7383 | 0.7362 | 7.0769 |
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+ | 1.5149 | 7.0 | 924 | 1.0135 | 0.7423 | 0.6202 | 0.7364 | 0.7346 | 7.0427 |
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+ | 1.0709 | 8.0 | 1056 | 1.0120 | 0.7424 | 0.6202 | 0.7365 | 0.7347 | 7.0385 |
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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
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+ "decoder_start_token_id": 0,
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+ "transformers_version": "4.41.2"
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