End of training

README.md

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+---
+library_name: transformers
+base_model: google-t5/t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: textsum6
+  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. -->
+
+# textsum6
+
+This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9513
+- Rouge1: 0.1022
+- Rouge2: 0.0619
+- Rougel: 0.0975
+- Rougelsum: 0.0975
+- Gen Len: 18.494
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.5293        | 1.0   | 911  | 1.9513          | 0.1022 | 0.0619 | 0.0975 | 0.0975    | 18.494  |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.2.2+cu118
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.45.2"
+}

runs/Feb13_10-17-58_LAPTOP-LMSN41KC/events.out.tfevents.1739413083.LAPTOP-LMSN41KC.19364.0

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