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Training complete

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: google/mt5-small
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+ tags:
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+ - summarization
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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: ADL_HW2_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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+ # ADL_HW2_MT5
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+
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+ This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.5085
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+ - Rouge1: 13.6234
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+ - Rouge2: 4.8107
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+ - Rougel: 13.4828
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+ - Rougelsum: 13.4694
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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: 5.6e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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+ | 6.652 | 1.0 | 340 | 3.9727 | 10.0329 | 3.8308 | 9.954 | 9.9802 |
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+ | 4.5708 | 2.0 | 680 | 3.7827 | 11.1164 | 4.1328 | 11.0046 | 11.0159 |
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+ | 4.3069 | 3.0 | 1020 | 3.6472 | 12.405 | 4.4789 | 12.2766 | 12.308 |
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+ | 4.1563 | 4.0 | 1360 | 3.5830 | 12.6726 | 4.5588 | 12.5504 | 12.5738 |
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+ | 4.0715 | 5.0 | 1700 | 3.5509 | 12.6934 | 4.7831 | 12.5682 | 12.5705 |
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+ | 4.0094 | 6.0 | 2040 | 3.5241 | 13.3107 | 4.8201 | 13.198 | 13.2002 |
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+ | 3.9728 | 7.0 | 2380 | 3.5153 | 13.3888 | 4.7922 | 13.2839 | 13.2947 |
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+ | 3.9505 | 8.0 | 2720 | 3.5085 | 13.6234 | 4.8107 | 13.4828 | 13.4694 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.19.1
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+ {
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.44.2"
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+ }
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