Model save

README.md

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+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+datasets:
+- sst
+model-index:
+- name: sst-t5-base
+  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. -->
+
+# sst-t5-base
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the sst dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0185
+- Mse: 0.0185
+
+## 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: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mse    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 267  | 0.0196          | 0.0196 |
+| 0.0237        | 2.0   | 534  | 0.0179          | 0.0179 |
+| 0.0237        | 3.0   | 801  | 0.0174          | 0.0174 |
+| 0.0133        | 4.0   | 1068 | 0.0182          | 0.0182 |
+| 0.0133        | 5.0   | 1335 | 0.0181          | 0.0181 |
+| 0.0101        | 6.0   | 1602 | 0.0180          | 0.0180 |
+| 0.0101        | 7.0   | 1869 | 0.0183          | 0.0183 |
+| 0.0083        | 8.0   | 2136 | 0.0188          | 0.0188 |
+| 0.0083        | 9.0   | 2403 | 0.0185          | 0.0186 |
+| 0.0067        | 10.0  | 2670 | 0.0187          | 0.0187 |
+| 0.0067        | 11.0  | 2937 | 0.0184          | 0.0184 |
+| 0.0057        | 12.0  | 3204 | 0.0186          | 0.0186 |
+| 0.0057        | 13.0  | 3471 | 0.0194          | 0.0194 |
+| 0.005         | 14.0  | 3738 | 0.0175          | 0.0176 |
+| 0.0045        | 15.0  | 4005 | 0.0182          | 0.0182 |
+| 0.0045        | 16.0  | 4272 | 0.0183          | 0.0183 |
+| 0.0041        | 17.0  | 4539 | 0.0187          | 0.0187 |
+| 0.0041        | 18.0  | 4806 | 0.0186          | 0.0186 |
+| 0.0038        | 19.0  | 5073 | 0.0188          | 0.0188 |
+| 0.0038        | 20.0  | 5340 | 0.0185          | 0.0185 |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 1.13.1+cu117
+- Datasets 2.15.0
+- Tokenizers 0.15.2

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