End of training

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: ifyou819/summary-pumed-dataset-1
+base_model: ifyou819/summary-pumed-dataset-2
 tags:
 - generated_from_trainer
 model-index:
@@ -12,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # summary-pumed-dataset-2
 
-This model is a fine-tuned version of [ifyou819/summary-pumed-dataset-1](https://huggingface.co/ifyou819/summary-pumed-dataset-1) on the None dataset.
+This model is a fine-tuned version of [ifyou819/summary-pumed-dataset-2](https://huggingface.co/ifyou819/summary-pumed-dataset-2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.2096
+- Loss: 5.9831
 
 ## Model description
 
@@ -33,20 +33,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-06
-- train_batch_size: 3
-- eval_batch_size: 3
+- learning_rate: 1e-06
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 6.7592        | 1.0   | 2597 | 6.2828          |
-| 6.7044        | 2.0   | 5194 | 6.2096          |
+| 6.6101        | 1.0   | 1948 | 6.0960          |
+| 6.4882        | 2.0   | 3896 | 6.0132          |
+| 6.4604        | 3.0   | 5844 | 5.9831          |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "ifyou819/summary-pumed-dataset-1",
+  "_name_or_path": "ifyou819/summary-pumed-dataset-2",
   "activation_dropout": 0.1,
   "activation_function": "relu",
   "add_bias_logits": false,

model.safetensors

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runs/May27_04-41-25_5716f2273b86/events.out.tfevents.1716784887.5716f2273b86.35.0

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tokenizer_config.json

@@ -955,6 +955,7 @@
   ],
   "clean_up_tokenization_spaces": true,
   "eos_token": "</s>",
+  "fast": true,
   "full_tokenizer_file": null,
   "mask_token": "<mask_2>",
   "mask_token_sent": "<mask_1>",

training_args.bin

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