Model save

README.md

@@ -15,7 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [hyunwoongko/kobart](https://huggingface.co/hyunwoongko/kobart) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4155
+- eval_loss: 1.3320
+- eval_runtime: 1.195
+- eval_samples_per_second: 405.854
+- eval_steps_per_second: 25.941
+- epoch: 2.35
+- step: 2300
 
 ## Model description
 
@@ -34,7 +39,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.0001
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -43,41 +48,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 400
 - num_epochs: 3
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 0.1   | 100  | 3.9336          |
-| No log        | 0.2   | 200  | 2.0259          |
-| No log        | 0.31  | 300  | 1.7706          |
-| No log        | 0.41  | 400  | 1.6725          |
-| 3.5011        | 0.51  | 500  | 1.6036          |
-| 3.5011        | 0.61  | 600  | 1.5641          |
-| 3.5011        | 0.71  | 700  | 1.5375          |
-| 3.5011        | 0.82  | 800  | 1.5182          |
-| 3.5011        | 0.92  | 900  | 1.5092          |
-| 1.5608        | 1.02  | 1000 | 1.4925          |
-| 1.5608        | 1.12  | 1100 | 1.4824          |
-| 1.5608        | 1.22  | 1200 | 1.4736          |
-| 1.5608        | 1.33  | 1300 | 1.4663          |
-| 1.5608        | 1.43  | 1400 | 1.4565          |
-| 1.4641        | 1.53  | 1500 | 1.4531          |
-| 1.4641        | 1.63  | 1600 | 1.4429          |
-| 1.4641        | 1.73  | 1700 | 1.4374          |
-| 1.4641        | 1.84  | 1800 | 1.4337          |
-| 1.4641        | 1.94  | 1900 | 1.4316          |
-| 1.4129        | 2.04  | 2000 | 1.4302          |
-| 1.4129        | 2.14  | 2100 | 1.4281          |
-| 1.4129        | 2.24  | 2200 | 1.4243          |
-| 1.4129        | 2.35  | 2300 | 1.4224          |
-| 1.4129        | 2.45  | 2400 | 1.4214          |
-| 1.3777        | 2.55  | 2500 | 1.4192          |
-| 1.3777        | 2.65  | 2600 | 1.4173          |
-| 1.3777        | 2.76  | 2700 | 1.4174          |
-| 1.3777        | 2.86  | 2800 | 1.4159          |
-| 1.3777        | 2.96  | 2900 | 1.4155          |
-
-
 ### Framework versions
 
 - Transformers 4.38.2

model.safetensors

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+oid sha256:c4e1727075b6ba4ffe952a7cc176b05bb4bb9d36149d1e35c35f6e7522871f4f
 size 495589768

runs/Apr16_00-42-44_a5ac0e95e35a/events.out.tfevents.1713228169.a5ac0e95e35a.353.3

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 10464
+oid sha256:0d6adfc9b4ea1126541b6492c7228f3a06322c56e8b5ff388ce079ef0a39a2ba
+size 12572

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 1024,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {