End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: mit
-base_model: gpt2
+base_model: rahul-bhoyar-1995/reuters-gpt2-text-gen
 tags:
 - generated_from_trainer
 model-index:
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # reuters-gpt2-text-gen
 
-This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+This model is a fine-tuned version of [rahul-bhoyar-1995/reuters-gpt2-text-gen](https://huggingface.co/rahul-bhoyar-1995/reuters-gpt2-text-gen) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 5.4664
+- Loss: 5.3160
 
 ## Model description
 
@@ -43,15 +43,14 @@ 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: 2
+- num_epochs: 1
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 5.6546        | 0.9940 | 125  | 5.7548          |
-| 5.2071        | 1.9881 | 250  | 5.4664          |
+| 5.0816        | 0.9940 | 125  | 5.3160          |
 
 
 ### Framework versions

runs/Oct17_09-35-53_ip-10-192-11-29/events.out.tfevents.1729157767.ip-10-192-11-29.10438.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 7763
+oid sha256:446abda5cc6dacf5df93d17abe22bdd51b085f3de9cf47c2c2eb3cb87d94ea79
+size 8377