End of training

README.md

@@ -15,12 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.3264
-- eval_runtime: 0.672
-- eval_samples_per_second: 78.866
-- eval_steps_per_second: 10.416
-- epoch: 38.0
-- step: 1026
+- Loss: 0.4325
 
 ## Model description
 
@@ -45,7 +40,23 @@ 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: 100
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 27   | 0.5354          |
+| No log        | 2.0   | 54   | 0.5203          |
+| No log        | 3.0   | 81   | 0.4536          |
+| No log        | 4.0   | 108  | 0.4493          |
+| No log        | 5.0   | 135  | 0.3256          |
+| No log        | 6.0   | 162  | 0.4192          |
+| No log        | 7.0   | 189  | 0.5078          |
+| No log        | 8.0   | 216  | 0.4952          |
+| No log        | 9.0   | 243  | 0.4654          |
+| No log        | 10.0  | 270  | 0.4325          |
+
 
 ### Framework versions
 

model.safetensors

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 size 260782152

runs/Jan25_15-41-37_4ea813092d5a/events.out.tfevents.1706197298.4ea813092d5a.30167.7

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+size 7178