End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: google-t5/t5-base
+base_model: matthew-mcc/google_summarization
 tags:
 - generated_from_trainer
 model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # google_summarization
 
-This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
+This model is a fine-tuned version of [matthew-mcc/google_summarization](https://huggingface.co/matthew-mcc/google_summarization) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6352
+- Loss: 1.6378
 
 ## Model description
 
@@ -40,17 +40,21 @@ 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: 4
+- num_epochs: 8
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 2.0393        | 1.0   | 500  | 1.6871          |
-| 1.7117        | 2.0   | 1000 | 1.6501          |
-| 1.6296        | 3.0   | 1500 | 1.6351          |
-| 1.5747        | 4.0   | 2000 | 1.6352          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.7453        | 1.0   | 1500  | 1.6085          |
+| 1.5817        | 2.0   | 3000  | 1.5919          |
+| 1.4864        | 3.0   | 4500  | 1.5984          |
+| 1.3933        | 4.0   | 6000  | 1.6007          |
+| 1.3403        | 5.0   | 7500  | 1.6159          |
+| 1.2759        | 6.0   | 9000  | 1.6277          |
+| 1.2191        | 7.0   | 10500 | 1.6324          |
+| 1.208         | 8.0   | 12000 | 1.6378          |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google-t5/t5-base",
+  "_name_or_path": "matthew-mcc/google_summarization",
   "architectures": [
     "T5ForConditionalGeneration"
   ],

model.safetensors

@@ -1,3 +1,3 @@
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 size 891644712

training_args.bin

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 size 5048