End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [100daggers/reuters-gpt2-text-gen](https://huggingface.co/100daggers/reuters-gpt2-text-gen) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.5937
+- Loss: 3.9508
 
 ## Model description
 
@@ -43,14 +43,18 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
-- num_epochs: 1
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 4.3568        | 0.9987 | 286  | 4.5937          |
+| 4.2626        | 0.9987 | 286  | 4.4727          |
+| 3.7809        | 1.9974 | 572  | 4.2128          |
+| 3.5797        | 2.9996 | 859  | 4.0473          |
+| 3.2899        | 3.9983 | 1145 | 3.9684          |
+| 3.2056        | 4.9935 | 1430 | 3.9508          |
 
 
 ### Framework versions

runs/Aug22_13-18-58_cycle-gan-2-40gb-0/events.out.tfevents.1724325540.cycle-gan-2-40gb-0.6027.3

@@ -1,3 +1,3 @@
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+size 37073