End of training

README.md

@@ -4,6 +4,11 @@ license: apache-2.0
 base_model: latterworks/highlightedreport-classifier-test
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
 model-index:
 - name: highlightedreport-classifier-test
   results: []
@@ -16,7 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [latterworks/highlightedreport-classifier-test](https://huggingface.co/latterworks/highlightedreport-classifier-test) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6538
+- Accuracy: 0.0
+- Loss: 0.7002
+- F1: 0.0
+- Precision: 0.0
+- Recall: 0.0
 
 ## Model description
 
@@ -41,6 +50,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 3
 - mixed_precision_training: Native AMP
 

runs/Mar20_14-12-03_9334099d6d55/events.out.tfevents.1742479949.9334099d6d55.1637.11

@@ -0,0 +1,3 @@
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+oid sha256:e3e8bd6aff20bbd6e325d8c2a318b4ec9ca5198f0e429e5d03465eed83b45065
+size 551