End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1828
+- Loss: 0.1795
 
 ## Model description
 
@@ -35,8 +35,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- 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
@@ -45,27 +45,41 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.4621        | 0.21  | 500  | 0.3522          |
-| 0.3527        | 0.43  | 1000 | 0.2873          |
-| 0.298         | 0.64  | 1500 | 0.2523          |
-| 0.2818        | 0.86  | 2000 | 0.2292          |
-| 0.2317        | 1.07  | 2500 | 0.2204          |
-| 0.2232        | 1.28  | 3000 | 0.2125          |
-| 0.2191        | 1.5   | 3500 | 0.2045          |
-| 0.1944        | 1.71  | 4000 | 0.1971          |
-| 0.1707        | 1.93  | 4500 | 0.1931          |
-| 0.1446        | 2.14  | 5000 | 0.1914          |
-| 0.139         | 2.35  | 5500 | 0.1882          |
-| 0.1345        | 2.57  | 6000 | 0.1844          |
-| 0.1416        | 2.78  | 6500 | 0.1843          |
-| 0.1635        | 3.0   | 7000 | 0.1828          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.5322        | 0.11  | 500   | 0.4266          |
+| 0.3544        | 0.21  | 1000  | 0.3467          |
+| 0.3892        | 0.32  | 1500  | 0.3076          |
+| 0.3657        | 0.43  | 2000  | 0.2814          |
+| 0.2904        | 0.54  | 2500  | 0.2656          |
+| 0.2551        | 0.64  | 3000  | 0.2447          |
+| 0.2641        | 0.75  | 3500  | 0.2373          |
+| 0.284         | 0.86  | 4000  | 0.2218          |
+| 0.2631        | 0.96  | 4500  | 0.2186          |
+| 0.2031        | 1.07  | 5000  | 0.2196          |
+| 0.1983        | 1.18  | 5500  | 0.2147          |
+| 0.1842        | 1.28  | 6000  | 0.2127          |
+| 0.1697        | 1.39  | 6500  | 0.2020          |
+| 0.2006        | 1.5   | 7000  | 0.2014          |
+| 0.1788        | 1.61  | 7500  | 0.1987          |
+| 0.1589        | 1.71  | 8000  | 0.1938          |
+| 0.2047        | 1.82  | 8500  | 0.1909          |
+| 0.1583        | 1.93  | 9000  | 0.1896          |
+| 0.1437        | 2.03  | 9500  | 0.1900          |
+| 0.1466        | 2.14  | 10000 | 0.1890          |
+| 0.1618        | 2.25  | 10500 | 0.1883          |
+| 0.1187        | 2.35  | 11000 | 0.1856          |
+| 0.1142        | 2.46  | 11500 | 0.1837          |
+| 0.1382        | 2.57  | 12000 | 0.1811          |
+| 0.1403        | 2.68  | 12500 | 0.1804          |
+| 0.1045        | 2.78  | 13000 | 0.1810          |
+| 0.1056        | 2.89  | 13500 | 0.1801          |
+| 0.12          | 3.0   | 14000 | 0.1795          |
 
 
 ### Framework versions
 
-- Transformers 4.33.3
-- Pytorch 2.0.1
-- Datasets 2.14.5
-- Tokenizers 0.13.3
+- Transformers 4.34.1
+- Pytorch 2.1.0
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

@@ -9,5 +9,5 @@
   "no_repeat_ngram_size": 3,
   "num_beams": 4,
   "pad_token_id": 1,
-  "transformers_version": "4.33.3"
+  "transformers_version": "4.34.1"
 }