Model save

README.md

@@ -13,14 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-uncased-ml
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.0000
-- eval_runtime: 9.8124
-- eval_samples_per_second: 101.912
-- eval_steps_per_second: 12.739
-- epoch: 1.95
-- step: 28622
+- Loss: 2.1621
 
 ## Model description
 
@@ -40,13 +35,22 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 21
+- train_batch_size: 150
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 3.0
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.7729        | 1.0   | 14050 | 3.8005          |
+| 2.408         | 2.0   | 28100 | 2.3630          |
+| 2.1739        | 3.0   | 42150 | 2.1621          |
+
+
 ### Framework versions
 
 - Transformers 4.34.0

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4a7a5232966ec09edbb24dedd329f499801278a388a700ec137fc97e481ee704
 size 438126133