Model save

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: 7epochisdabest
+  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. -->
+
+# 7epochisdabest
+
+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: 2.6723
+- Rouge1: 0.1892
+- Rouge2: 0.0723
+- Rougel: 0.1517
+- Rougelsum: 0.1515
+- Gen Len: 19.0
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 3.0939        | 1.0   | 1370 | 2.7942          | 0.1877 | 0.0727 | 0.1506 | 0.1505    | 18.894  |
+| 2.9829        | 2.0   | 2740 | 2.7420          | 0.1901 | 0.0734 | 0.1523 | 0.152     | 19.0    |
+| 2.9343        | 3.0   | 4110 | 2.7119          | 0.1898 | 0.0733 | 0.1522 | 0.1521    | 19.0    |
+| 2.9013        | 4.0   | 5480 | 2.6937          | 0.1891 | 0.0723 | 0.1514 | 0.1512    | 19.0    |
+| 2.8908        | 5.0   | 6850 | 2.6799          | 0.1895 | 0.0723 | 0.1515 | 0.1513    | 19.0    |
+| 2.8676        | 6.0   | 8220 | 2.6749          | 0.1889 | 0.0722 | 0.1518 | 0.1517    | 19.0    |
+| 2.8433        | 7.0   | 9590 | 2.6723          | 0.1892 | 0.0723 | 0.1517 | 0.1515    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

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runs/Feb05_11-43-21_7af403b11a69/events.out.tfevents.1707133403.7af403b11a69.30439.0

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