End of training

README.md

@@ -17,12 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract) on the squad dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.0031
-- eval_runtime: 150.8766
-- eval_samples_per_second: 70.057
-- eval_steps_per_second: 2.194
-- epoch: 2.0
-- step: 5476
+- Loss: 1.0342
 
 ## Model description
 
@@ -44,11 +39,20 @@ The following hyperparameters were used during training:
 - learning_rate: 2e-05
 - train_batch_size: 32
 - eval_batch_size: 32
-- seed: 42
+- seed: 0
 - 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0731        | 1.0   | 2738 | 1.0432          |
+| 0.8584        | 2.0   | 5476 | 1.0055          |
+| 0.6878        | 3.0   | 8214 | 1.0342          |
+
+
 ### Framework versions
 
 - Transformers 4.33.0

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 435640489