End of training

README.md

@@ -4,7 +4,7 @@ base_model: allenai/longformer-base-4096
 tags:
 - generated_from_trainer
 metrics:
-- accuracy
+- f1
 model-index:
 - name: job_interview_STAR_transcript_classifier_long
   results: []
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2128
-- Accuracy: 0.9667
+- Loss: 0.5223
+- F1: 0.8929
 
 ## Model description
 
@@ -43,17 +43,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 2
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 60   | 0.2217          | 0.9333   |
-| No log        | 2.0   | 120  | 0.2318          | 0.9667   |
-| No log        | 3.0   | 180  | 0.2169          | 0.9667   |
-| No log        | 4.0   | 240  | 0.2128          | 0.9667   |
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 60   | 0.4468          | 0.7179 |
+| No log        | 2.0   | 120  | 0.5223          | 0.8929 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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