Model save

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- sst
+model-index:
+- name: sst-bert-base-uncased
+  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-bert-base-uncased
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the sst dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0201
+- Mse: 0.0201
+
+## 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: 16
+- eval_batch_size: 32
+- seed: 42
+- 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    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.0428        | 1.0   | 534   | 0.0218          | 0.0218 |
+| 0.0169        | 2.0   | 1068  | 0.0216          | 0.0216 |
+| 0.0096        | 3.0   | 1602  | 0.0231          | 0.0232 |
+| 0.0066        | 4.0   | 2136  | 0.0222          | 0.0223 |
+| 0.0046        | 5.0   | 2670  | 0.0220          | 0.0220 |
+| 0.0035        | 6.0   | 3204  | 0.0209          | 0.0210 |
+| 0.0029        | 7.0   | 3738  | 0.0226          | 0.0227 |
+| 0.0025        | 8.0   | 4272  | 0.0211          | 0.0211 |
+| 0.0023        | 9.0   | 4806  | 0.0207          | 0.0208 |
+| 0.002         | 10.0  | 5340  | 0.0218          | 0.0218 |
+| 0.0017        | 11.0  | 5874  | 0.0201          | 0.0202 |
+| 0.0015        | 12.0  | 6408  | 0.0212          | 0.0212 |
+| 0.0014        | 13.0  | 6942  | 0.0202          | 0.0202 |
+| 0.0012        | 14.0  | 7476  | 0.0205          | 0.0206 |
+| 0.0009        | 15.0  | 8010  | 0.0203          | 0.0203 |
+| 0.0008        | 16.0  | 8544  | 0.0202          | 0.0202 |
+| 0.0007        | 17.0  | 9078  | 0.0206          | 0.0207 |
+| 0.0006        | 18.0  | 9612  | 0.0200          | 0.0200 |
+| 0.0005        | 19.0  | 10146 | 0.0201          | 0.0201 |
+| 0.0005        | 20.0  | 10680 | 0.0201          | 0.0201 |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 1.13.1+cu117
+- Datasets 2.15.0
+- Tokenizers 0.15.2

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