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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/flan-t5-small
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - billsum
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: flan-t5-small-billsum
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: billsum
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+ type: billsum
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+ config: default
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+ split: train[17000:]
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+ args: default
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+ metrics:
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+ - name: Rouge1
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+ type: rouge
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+ value: 24.0011
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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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+ # flan-t5-small-billsum
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+
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+ This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the billsum dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5675
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+ - Rouge1: 24.0011
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+ - Rouge2: 18.8602
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+ - Rougel: 22.9037
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+ - Rougelsum: 23.1161
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+ - Gen Len: 19.0
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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: 8
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+ - eval_batch_size: 8
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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: 5
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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 | 195 | 1.6773 | 22.8625 | 17.311 | 21.829 | 22.0089 | 19.0 |
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+ | No log | 2.0 | 390 | 1.6134 | 23.6942 | 18.553 | 22.561 | 22.8895 | 19.0 |
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+ | 1.9532 | 3.0 | 585 | 1.5882 | 23.8253 | 18.7086 | 22.6519 | 22.9745 | 19.0 |
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+ | 1.9532 | 4.0 | 780 | 1.5739 | 24.0178 | 18.8429 | 22.9119 | 23.1471 | 19.0 |
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+ | 1.9532 | 5.0 | 975 | 1.5675 | 24.0011 | 18.8602 | 22.9037 | 23.1161 | 19.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.1
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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+ "relative_attention_num_buckets": 32,
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+ "translation_en_to_fr": {
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