Model save

README.md

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+---
+license: apache-2.0
+base_model: t5-3b
+tags:
+- generated_from_trainer
+datasets:
+- squad
+model-index:
+- name: t5_3b_epoch_10
+  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_3b_epoch_10
+
+This model is a fine-tuned version of [t5-3b](https://huggingface.co/t5-3b) on the squad dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5926
+
+## 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: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.147         | 1.0   | 342  | 1.0960          |
+| 0.9928        | 2.0   | 684  | 1.1021          |
+| 0.861         | 3.0   | 1026 | 1.1422          |
+| 0.7545        | 4.0   | 1368 | 1.2032          |
+| 0.6504        | 5.0   | 1710 | 1.2719          |
+| 0.5708        | 6.0   | 2053 | 1.3405          |
+| 0.5077        | 7.0   | 2395 | 1.4169          |
+| 0.452         | 8.0   | 2737 | 1.4925          |
+| 0.4063        | 9.0   | 3079 | 1.5488          |
+| 0.3863        | 9.99  | 3420 | 1.5926          |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+  "transformers_version": "4.32.0.dev0"
+}

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