End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-large-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: cs605-nlp-assignment-2-bert-large-uncased-v2
+  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. -->
+
+# cs605-nlp-assignment-2-bert-large-uncased-v2
+
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4797
+- Accuracy: 0.7861
+
+## 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: 1.3166642758879955e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5698        | 1.0   | 746  | 0.4877          | 0.7533   |
+| 0.4247        | 2.0   | 1492 | 0.5234          | 0.7777   |
+| 0.1575        | 3.0   | 2238 | 0.6654          | 0.7741   |
+| 0.1178        | 4.0   | 2984 | 1.0942          | 0.7764   |
+| 0.044         | 5.0   | 3730 | 1.2965          | 0.7824   |
+| 0.0345        | 6.0   | 4476 | 1.1750          | 0.7861   |
+| 0.0164        | 7.0   | 5222 | 1.4659          | 0.7828   |
+| 0.0136        | 8.0   | 5968 | 1.4372          | 0.7848   |
+| 0.0059        | 9.0   | 6714 | 1.5201          | 0.7871   |
+| 0.0081        | 10.0  | 7460 | 1.4797          | 0.7861   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

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