End of training

README.md

@@ -14,8 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # ner-bert-ingredientstesting
 
 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: 4.2773
 
 ## Model description
 
@@ -35,10 +33,10 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 16
+- eval_batch_size: 64
 - seed: 42
-- gradient_accumulation_steps: 4
+- gradient_accumulation_steps: 8
 - total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -47,14 +45,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.0902        | 1.0   | 1    | 4.2773          |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu121
-- Datasets 2.16.1
+- Transformers 4.36.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
 - Tokenizers 0.15.0

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trainer_state.json

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 }

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