End of training

README.md

@@ -17,12 +17,12 @@ model-index:
       name: xsum
       type: xsum
       config: default
-      split: validation
+      split: train[:10%]
       args: default
     metrics:
     - name: Rouge1
       type: rouge
-      value: 29.1562
+      value: 27.0616
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,12 +32,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4190
-- Rouge1: 29.1562
-- Rouge2: 8.3597
-- Rougel: 23.0368
-- Rougelsum: 23.0365
-- Gen Len: 18.8217
+- Loss: 2.5622
+- Rouge1: 27.0616
+- Rouge2: 6.8574
+- Rougel: 21.1087
+- Rougelsum: 21.1175
+- Gen Len: 18.8246
 
 ## Model description
 
@@ -57,24 +57,28 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 2.6698        | 1.0   | 51012 | 2.4190          | 29.1562 | 8.3597 | 23.0368 | 23.0365   | 18.8217 |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 2.8879        | 1.0   | 1148 | 2.6353          | 25.4786 | 5.8199 | 19.7404 | 19.7497   | 18.8089 |
+| 2.8178        | 2.0   | 2296 | 2.5951          | 26.2963 | 6.4255 | 20.5395 | 20.5304   | 18.8084 |
+| 2.7831        | 3.0   | 3444 | 2.5741          | 26.7181 | 6.7174 | 20.8888 | 20.8914   | 18.806  |
+| 2.7572        | 4.0   | 4592 | 2.5647          | 27.0071 | 6.8335 | 21.108  | 21.1149   | 18.8202 |
+| 2.7476        | 5.0   | 5740 | 2.5622          | 27.0616 | 6.8574 | 21.1087 | 21.1175   | 18.8246 |
 
 
 ### Framework versions
 
-- Transformers 4.36.2
-- Pytorch 2.1.2+cu121
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+- Transformers 4.40.1
+- Pytorch 1.13.1+cu117
+- Datasets 2.19.0
+- 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": "4.36.2"
+  "transformers_version": "4.40.1"
 }

model.safetensors

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 size 242041896

runs/Apr25_05-10-30_instance-20240425-123743/events.out.tfevents.1714021842.instance-20240425-123743

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