End of training

README.md

@@ -1,64 +1,65 @@
----
-license: apache-2.0
-base_model: bert-base-uncased
-tags:
-- generated_from_trainer
-datasets:
-- swag
-metrics:
-- accuracy
-model-index:
-- name: fine-tuned-bert-base-uncased-swag
-  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. -->
-
-# fine-tuned-bert-base-uncased-swag
-
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the swag dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.0282
-- Accuracy: 0.7885
-
-## 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: 3
-
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.7622        | 1.0   | 4597  | 0.6041          | 0.7613   |
-| 0.3822        | 2.0   | 9194  | 0.6282          | 0.7823   |
-| 0.1366        | 3.0   | 13791 | 1.0282          | 0.7885   |
-
-
-### Framework versions
-
-- Transformers 4.41.2
-- Pytorch 2.3.0+cu121
-- Datasets 2.19.2
-- Tokenizers 0.19.1
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- swag
+metrics:
+- accuracy
+model-index:
+- name: fine-tuned-bert-base-uncased-swag
+  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. -->
+
+# fine-tuned-bert-base-uncased-swag
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the swag dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7481
+- Accuracy: 0.8095
+
+## 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: 1.5e-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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.7255        | 1.0   | 4597  | 0.5368          | 0.7954   |
+| 0.4771        | 2.0   | 9194  | 0.5097          | 0.8066   |
+| 0.2964        | 3.0   | 13791 | 0.6103          | 0.8062   |
+| 0.2029        | 4.0   | 18388 | 0.7481          | 0.8095   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 1.11.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

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