End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-small-finetuned-aspect_01
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# t5-small-finetuned-aspect_01
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7900
+- Rouge1: 37.0575
+- Rouge2: 17.6394
+- Rougel: 33.3948
+- Rougelsum: 33.2789
+- Gen Len: 18.7179
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 44   | 1.8935          | 35.7882 | 17.8672 | 31.8846 | 32.0356   | 18.8974 |
+| No log        | 2.0   | 88   | 1.7900          | 37.0575 | 17.6394 | 33.3948 | 33.2789   | 18.7179 |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.2"
+}

runs/Nov18_19-09-42_ae1072d17ba8/events.out.tfevents.1731957101.ae1072d17ba8.747.0

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