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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/mt5-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bcoqa-mt5
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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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+ # bcoqa-mt5
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+
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+ This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1585
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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: 3
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+ - eval_batch_size: 3
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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: 1
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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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+ | 1.6025 | 0.22 | 10000 | 1.3188 |
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+ | 1.4277 | 0.43 | 20000 | 1.2436 |
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+ | 1.2805 | 0.65 | 30000 | 1.1954 |
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+ | 1.3656 | 0.86 | 40000 | 1.1585 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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+ "transformers_version": "4.37.2",
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+ "use_cache": true,
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+ "vocab_size": 250112
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+ }
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