Model save

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: google-t5/t5-base
 tags:
 - generated_from_trainer
 metrics:
@@ -16,11 +17,11 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2831
-- Rouge1: 39.2788
-- Rouge2: 22.0027
-- Rougel: 34.4032
-- Rougelsum: 37.0456
+- Loss: 1.2739
+- Rouge1: 40.1703
+- Rouge2: 22.999
+- Rougel: 35.3466
+- Rougelsum: 37.9002
 
 ## Model description
 
@@ -39,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.00056
+- learning_rate: 5.6e-05
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
@@ -49,14 +50,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| 1.5798        | 1.0   | 3760 | 1.2831          | 39.2788 | 22.0027 | 34.4032 | 37.0456   |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 1.3759        | 1.0   | 3760 | 1.2739          | 40.1703 | 22.999 | 35.3466 | 37.9002   |
 
 
 ### Framework versions
 
-- Transformers 4.28.0
+- Transformers 4.40.0
 - Pytorch 1.13.1+cu117
 - Datasets 2.19.0
-- Tokenizers 0.13.3
+- Tokenizers 0.19.1

generation_config.json

@@ -2,5 +2,5 @@
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.28.0"
+  "transformers_version": "4.40.0"
 }

model.safetensors

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runs/Apr23_11-45-37_af874b8be047/events.out.tfevents.1713872758.af874b8be047.192.0

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