End of training

README.md

@@ -15,7 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9423
+- eval_loss: 1.9214
+- eval_runtime: 2.874
+- eval_samples_per_second: 86.291
+- eval_steps_per_second: 10.786
+- epoch: 9.17
+- step: 2274
 
 ## Model description
 
@@ -41,18 +46,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 5
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.9961        | 1.0   | 248  | 1.0539          |
-| 0.9998        | 2.0   | 496  | 1.0713          |
-| 1.0943        | 3.0   | 744  | 0.9934          |
-| 0.8602        | 4.0   | 992  | 0.9462          |
-| 0.8658        | 5.0   | 1240 | 0.9423          |
-
+- num_epochs: 15
 
 ### Framework versions
 

pytorch_model.bin

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training_args.bin

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