Model save

README.md

@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1962
-- Memory Allocated (gb): 54.03
-- Max Memory Allocated (gb): 54.47
+- Loss: 0.7974
+- Memory Allocated (gb): 2.37
+- Max Memory Allocated (gb): 2.78
 - Total Memory Available (gb): 94.62
 
 ## Model description
@@ -38,19 +38,16 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 128
+- train_batch_size: 1
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
 - lr_scheduler_type: reduce_lr_on_plateau
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 1
+- num_epochs: 4
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Allocated (gb) | Memory Allocated (gb) | Memory Available (gb) |
-|:-------------:|:-----:|:----:|:---------------:|:--------------:|:---------------------:|:---------------------:|
-| 0.2846        | 1.0   | 196  | 0.1962          | 54.03          | 54.47                 | 94.62                 |
 
 
 ### Framework versions

emissions.csv

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