witchling22 commited on
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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: t5-base
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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: t5-base-finetuned-scitldr
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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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+ # t5-base-finetuned-scitldr
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+
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+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.1055
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+ - Rouge1: 23.6222
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+ - Rouge2: 10.2432
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+ - Rougel: 19.702
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+ - Rougelsum: 20.9458
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+ - Gen Len: 18.979
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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: 4e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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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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+ - 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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+ | 2.4272 | 0.1 | 100 | 3.1951 | 23.0447 | 9.7818 | 19.0676 | 20.1677 | 18.9532 |
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+ | 2.0362 | 0.2 | 200 | 3.1715 | 23.5443 | 10.1156 | 19.5788 | 20.6995 | 18.9483 |
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+ | 2.188 | 0.3 | 300 | 3.1067 | 24.2387 | 10.3059 | 20.0964 | 21.2592 | 18.9338 |
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+ | 2.0312 | 0.4 | 400 | 3.1092 | 23.3168 | 10.1308 | 19.4275 | 20.611 | 18.9742 |
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+ | 2.012 | 0.5 | 500 | 3.1189 | 23.6989 | 10.3005 | 19.7634 | 20.9462 | 18.9758 |
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+ | 2.0581 | 0.6 | 600 | 3.1191 | 23.6818 | 10.2636 | 19.7953 | 20.9935 | 18.9774 |
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+ | 2.0067 | 0.7 | 700 | 3.1297 | 23.8476 | 10.5139 | 19.9696 | 21.1594 | 18.9774 |
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+ | 2.0049 | 0.8 | 800 | 3.1150 | 23.6929 | 10.3243 | 19.7895 | 21.0455 | 18.979 |
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+ | 2.1839 | 0.9 | 900 | 3.1055 | 23.6222 | 10.2432 | 19.702 | 20.9458 | 18.979 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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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": "4.35.2"
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+ }
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