End of training

README.md

@@ -3,6 +3,10 @@ license: apache-2.0
 base_model: allenai/longformer-base-4096
 tags:
 - generated_from_trainer
+metrics:
+- recall
+- precision
+- f1
 model-index:
 - name: longformer-8bitadam-3072
   results: []
@@ -15,15 +19,10 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0023
-- Name Student Precision: 1.0
-- Name Student Recall: 1.0
-- Name Student F1: 1.0
-- Name Student Number: 30
-- Overall Precision: 1.0
-- Overall Recall: 1.0
-- Overall F1: 1.0
-- Overall Accuracy: 1.0
+- Loss: 0.0217
+- Recall: 1.0
+- Precision: 0.9697
+- F1: 0.9988
 
 ## Model description
 
@@ -56,10 +55,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Name Student Precision | Name Student Recall | Name Student F1 | Name Student Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
-| 0.0315        | 1.0   | 100  | 0.0051          | 1.0                    | 0.9667              | 0.9831          | 30                  | 1.0               | 0.9667         | 0.9831     | 0.9975           |
-| 0.001         | 2.0   | 200  | 0.0023          | 1.0                    | 1.0                 | 1.0             | 30                  | 1.0               | 1.0            | 1.0        | 1.0              |
+| Training Loss | Epoch | Step | Validation Loss | Recall | Precision | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|
+| 0.0057        | 1.0   | 100  | 0.0276          | 1.0    | 0.9412    | 0.9976 |
+| 0.0003        | 2.0   | 200  | 0.0217          | 1.0    | 0.9697    | 0.9988 |
 
 
 ### Framework versions

model.safetensors

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 size 592370940

training_args.bin

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