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 [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0082
+- Loss: 0.0079
 
 ## Model description
 
@@ -41,18 +41,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.4899        | 1.0   | 650  | 0.0114          |
-| 0.0112        | 2.0   | 1300 | 0.0095          |
-| 0.0096        | 3.0   | 1950 | 0.0080          |
-| 0.0068        | 4.0   | 2600 | 0.0078          |
-| 0.0063        | 5.0   | 3250 | 0.0082          |
+| 0.5183        | 1.0   | 650  | 0.0116          |
+| 0.0152        | 2.0   | 1300 | 0.0089          |
+| 0.013         | 3.0   | 1950 | 0.0079          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:de45f0c7a6321fdcc6666e83fcba7f1770872df6a46262c5ac22ea766e98d648
+oid sha256:c988182f0cc3de76bff1857b0f26338848ba0b75a3e41e78f99447e07a7a6493
 size 891644712