End of training

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- matthews_correlation
 model-index:
 - name: work1_AIA_LLM_B_132001
   results: []
@@ -15,12 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.8484
-- eval_matthews_correlation: 0.5388
-- eval_runtime: 0.8215
-- eval_samples_per_second: 1269.61
-- eval_steps_per_second: 80.34
-- step: 0
+- Loss: 1.2488
+- Matthews Correlation: 0.5406
 
 ## Model description
 
@@ -47,6 +45,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
+| 0.1282        | 1.0   | 535  | 0.7020          | 0.5086               |
+| 0.0923        | 2.0   | 1070 | 1.0002          | 0.5173               |
+| 0.0693        | 3.0   | 1605 | 1.0410          | 0.5195               |
+| 0.0524        | 4.0   | 2140 | 1.2027          | 0.5309               |
+| 0.042         | 5.0   | 2675 | 1.2488          | 0.5406               |
+
+
 ### Framework versions
 
 - Transformers 4.39.1

runs/Mar23_02-14-11_d179836e26c8/events.out.tfevents.1711160243.d179836e26c8.903.3

@@ -0,0 +1,3 @@
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+oid sha256:cd985a4a6b120eba842cdad9acd35d96776a65107147ea72db90af39422ac620
+size 423