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: 0.2198
+- Loss: 0.2157
 
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.5498        | 0.21  | 500  | 0.4620          |
-| 0.4403        | 0.43  | 1000 | 0.3597          |
-| 0.3556        | 0.64  | 1500 | 0.3199          |
-| 0.3367        | 0.86  | 2000 | 0.2803          |
-| 0.2754        | 1.07  | 2500 | 0.2695          |
-| 0.268         | 1.28  | 3000 | 0.2568          |
-| 0.2449        | 1.5   | 3500 | 0.2485          |
-| 0.2271        | 1.71  | 4000 | 0.2398          |
-| 0.2238        | 1.93  | 4500 | 0.2337          |
-| 0.1857        | 2.14  | 5000 | 0.2310          |
-| 0.1802        | 2.35  | 5500 | 0.2273          |
-| 0.1798        | 2.57  | 6000 | 0.2219          |
-| 0.1905        | 2.78  | 6500 | 0.2205          |
-| 0.1925        | 3.0   | 7000 | 0.2198          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.6234        | 0.11  | 500   | 0.5441          |
+| 0.4953        | 0.21  | 1000  | 0.4205          |
+| 0.4357        | 0.32  | 1500  | 0.3782          |
+| 0.4194        | 0.43  | 2000  | 0.3422          |
+| 0.364         | 0.54  | 2500  | 0.3211          |
+| 0.3064        | 0.64  | 3000  | 0.2959          |
+| 0.3169        | 0.75  | 3500  | 0.2859          |
+| 0.3169        | 0.86  | 4000  | 0.2703          |
+| 0.3033        | 0.96  | 4500  | 0.2622          |
+| 0.2401        | 1.07  | 5000  | 0.2635          |
+| 0.2253        | 1.18  | 5500  | 0.2564          |
+| 0.2214        | 1.28  | 6000  | 0.2571          |
+| 0.2315        | 1.39  | 6500  | 0.2424          |
+| 0.2524        | 1.5   | 7000  | 0.2386          |
+| 0.2257        | 1.61  | 7500  | 0.2374          |
+| 0.1949        | 1.71  | 8000  | 0.2344          |
+| 0.2344        | 1.82  | 8500  | 0.2286          |
+| 0.1896        | 1.93  | 9000  | 0.2265          |
+| 0.1722        | 2.03  | 9500  | 0.2266          |
+| 0.1697        | 2.14  | 10000 | 0.2293          |
+| 0.1558        | 2.25  | 10500 | 0.2265          |
+| 0.154         | 2.35  | 11000 | 0.2231          |
+| 0.1476        | 2.46  | 11500 | 0.2205          |
+| 0.1715        | 2.57  | 12000 | 0.2190          |
+| 0.1735        | 2.68  | 12500 | 0.2175          |
+| 0.1319        | 2.78  | 13000 | 0.2170          |
+| 0.1556        | 2.89  | 13500 | 0.2163          |
+| 0.1573        | 3.0   | 14000 | 0.2157          |
 
 
 ### 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"
 }