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: 0.2103
+- Loss: 0.2005
 
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.5102        | 0.21  | 500  | 0.4307          |
-| 0.4411        | 0.43  | 1000 | 0.3388          |
-| 0.3421        | 0.64  | 1500 | 0.3013          |
-| 0.3097        | 0.86  | 2000 | 0.2677          |
-| 0.2682        | 1.07  | 2500 | 0.2556          |
-| 0.2533        | 1.28  | 3000 | 0.2485          |
-| 0.2502        | 1.5   | 3500 | 0.2348          |
-| 0.2222        | 1.71  | 4000 | 0.2264          |
-| 0.2137        | 1.93  | 4500 | 0.2222          |
-| 0.1793        | 2.14  | 5000 | 0.2231          |
-| 0.1663        | 2.35  | 5500 | 0.2166          |
-| 0.1651        | 2.57  | 6000 | 0.2110          |
-| 0.1651        | 2.78  | 6500 | 0.2116          |
-| 0.1872        | 3.0   | 7000 | 0.2103          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.6442        | 0.11  | 500   | 0.5078          |
+| 0.455         | 0.21  | 1000  | 0.3945          |
+| 0.4276        | 0.32  | 1500  | 0.3555          |
+| 0.3951        | 0.43  | 2000  | 0.3177          |
+| 0.3851        | 0.54  | 2500  | 0.3026          |
+| 0.3178        | 0.64  | 3000  | 0.2766          |
+| 0.294         | 0.75  | 3500  | 0.2702          |
+| 0.2857        | 0.86  | 4000  | 0.2565          |
+| 0.305         | 0.96  | 4500  | 0.2434          |
+| 0.2224        | 1.07  | 5000  | 0.2427          |
+| 0.2122        | 1.18  | 5500  | 0.2419          |
+| 0.2026        | 1.28  | 6000  | 0.2402          |
+| 0.2155        | 1.39  | 6500  | 0.2258          |
+| 0.2277        | 1.5   | 7000  | 0.2239          |
+| 0.2115        | 1.61  | 7500  | 0.2209          |
+| 0.194         | 1.71  | 8000  | 0.2191          |
+| 0.2329        | 1.82  | 8500  | 0.2163          |
+| 0.1781        | 1.93  | 9000  | 0.2114          |
+| 0.154         | 2.03  | 9500  | 0.2148          |
+| 0.1722        | 2.14  | 10000 | 0.2129          |
+| 0.1329        | 2.25  | 10500 | 0.2114          |
+| 0.1535        | 2.35  | 11000 | 0.2076          |
+| 0.1414        | 2.46  | 11500 | 0.2057          |
+| 0.1618        | 2.57  | 12000 | 0.2033          |
+| 0.1486        | 2.68  | 12500 | 0.2028          |
+| 0.1302        | 2.78  | 13000 | 0.2023          |
+| 0.1314        | 2.89  | 13500 | 0.2020          |
+| 0.1392        | 3.0   | 14000 | 0.2005          |
 
 
 ### 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"
 }