Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/bert_uncased_L-4_H-512_A-8
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert_uncased_L-4_H-512_A-8_mnli
+  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. -->
+
+# bert_uncased_L-4_H-512_A-8_mnli
+
+This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7132
+- Accuracy: 0.7763
+
+## 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: 256
+- eval_batch_size: 256
+- seed: 10
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.7086        | 1.0   | 1534  | 0.6315          | 0.7438   |
+| 0.5704        | 2.0   | 3068  | 0.5782          | 0.7652   |
+| 0.4967        | 3.0   | 4602  | 0.5685          | 0.7793   |
+| 0.4356        | 4.0   | 6136  | 0.5847          | 0.7822   |
+| 0.3809        | 5.0   | 7670  | 0.6004          | 0.7855   |
+| 0.3341        | 6.0   | 9204  | 0.6375          | 0.7837   |
+| 0.2922        | 7.0   | 10738 | 0.6666          | 0.7808   |
+| 0.2565        | 8.0   | 12272 | 0.7132          | 0.7763   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.20.3

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