End of training

README.md

@@ -1,69 +1,52 @@
----
-license: apache-2.0
-base_model: bert-base-uncased
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: cs605-nlp-assignment-2-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. -->
-
-# cs605-nlp-assignment-2-bert-base-uncased
-
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.1622
-- Accuracy: 0.7590
-
-## 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: 64
-- eval_batch_size: 64
-- 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 |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 187  | 0.4840          | 0.7503   |
-| No log        | 2.0   | 374  | 0.5486          | 0.7603   |
-| 0.3574        | 3.0   | 561  | 0.7501          | 0.7643   |
-| 0.3574        | 4.0   | 748  | 0.8620          | 0.7580   |
-| 0.3574        | 5.0   | 935  | 1.0049          | 0.7586   |
-| 0.0576        | 6.0   | 1122 | 1.0032          | 0.7633   |
-| 0.0576        | 7.0   | 1309 | 1.1332          | 0.7620   |
-| 0.0576        | 8.0   | 1496 | 1.1426          | 0.7627   |
-| 0.0166        | 9.0   | 1683 | 1.1277          | 0.7596   |
-| 0.0166        | 10.0  | 1870 | 1.1622          | 0.7590   |
-
-
-### Framework versions
-
-- Transformers 4.41.2
-- Pytorch 2.1.0+cu121
-- Datasets 2.19.1
-- Tokenizers 0.19.1
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: cs605-nlp-assignment-2-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. -->
+
+# cs605-nlp-assignment-2-bert-base-uncased
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.3.0
+- Datasets 2.18.0
+- Tokenizers 0.19.1

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