End of training

README.md

@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7796
-- Rouge1: 0.3102
-- Rouge2: 0.1753
-- Rougel: 0.2022
-- Rougelsum: 0.2037
-- Gen Len: 142.0
+- Loss: 1.8242
+- Rouge1: 0.4168
+- Rouge2: 0.1843
+- Rougel: 0.26
+- Rougelsum: 0.2614
+- Gen Len: 126.1232
 
 ## Model description
 
@@ -41,12 +41,12 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 6
-- eval_batch_size: 6
+- learning_rate: 5e-06
+- train_batch_size: 3
+- eval_batch_size: 3
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 24
+- total_train_batch_size: 12
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 10
@@ -54,23 +54,23 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 34   | 1.7714          | 0.3079 | 0.1651 | 0.1946 | 0.1965    | 142.0   |
-| No log        | 2.0   | 68   | 1.7531          | 0.3151 | 0.1752 | 0.207  | 0.2081    | 142.0   |
-| No log        | 3.0   | 102  | 1.7471          | 0.3041 | 0.1665 | 0.1963 | 0.198     | 142.0   |
-| No log        | 4.0   | 136  | 1.7520          | 0.3104 | 0.1727 | 0.2039 | 0.2053    | 142.0   |
-| No log        | 5.0   | 170  | 1.7547          | 0.3123 | 0.1747 | 0.2018 | 0.203     | 142.0   |
-| No log        | 6.0   | 204  | 1.7636          | 0.3079 | 0.169  | 0.1969 | 0.1984    | 142.0   |
-| No log        | 7.0   | 238  | 1.7691          | 0.3134 | 0.1783 | 0.2067 | 0.208     | 142.0   |
-| No log        | 8.0   | 272  | 1.7703          | 0.3082 | 0.1727 | 0.2023 | 0.204     | 142.0   |
-| No log        | 9.0   | 306  | 1.7746          | 0.3091 | 0.1753 | 0.2016 | 0.2034    | 142.0   |
-| No log        | 10.0  | 340  | 1.7796          | 0.3102 | 0.1753 | 0.2022 | 0.2037    | 142.0   |
+| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len  |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
+| No log        | 0.9889 | 67   | 2.0691          | 0.3965 | 0.1608 | 0.2317 | 0.2325    | 134.8522 |
+| No log        | 1.9926 | 135  | 1.9581          | 0.4184 | 0.1826 | 0.2539 | 0.255     | 133.4433 |
+| No log        | 2.9963 | 203  | 1.9041          | 0.4129 | 0.1792 | 0.2554 | 0.2563    | 127.0591 |
+| No log        | 4.0    | 271  | 1.8745          | 0.4111 | 0.1769 | 0.2579 | 0.2586    | 126.7635 |
+| No log        | 4.9889 | 338  | 1.8539          | 0.4122 | 0.1754 | 0.258  | 0.2586    | 126.0542 |
+| No log        | 5.9926 | 406  | 1.8414          | 0.4197 | 0.1806 | 0.2603 | 0.2613    | 130.8177 |
+| No log        | 6.9963 | 474  | 1.8334          | 0.4058 | 0.1712 | 0.2532 | 0.2539    | 126.1281 |
+| 1.9669        | 8.0    | 542  | 1.8284          | 0.4129 | 0.1818 | 0.2587 | 0.2596    | 125.798  |
+| 1.9669        | 8.9889 | 609  | 1.8246          | 0.4129 | 0.1802 | 0.257  | 0.2582    | 126.6158 |
+| 1.9669        | 9.8893 | 670  | 1.8242          | 0.4168 | 0.1843 | 0.26   | 0.2614    | 126.1232 |
 
 
 ### Framework versions
 
-- Transformers 4.39.3
-- Pytorch 2.2.2+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

@@ -64,7 +64,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.39.3",
+  "transformers_version": "4.40.0",
   "use_cache": true,
   "vocab_size": 50264
 }

generation_config.json

@@ -1,6 +1,15 @@
 {
-  "do_sample": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
   "eos_token_id": 2,
-  "max_new_tokens": 512,
-  "transformers_version": "4.39.3"
+  "forced_bos_token_id": 0,
+  "forced_eos_token_id": 2,
+  "length_penalty": 2.0,
+  "max_length": 142,
+  "min_length": 56,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.40.0"
 }

model.safetensors

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tokenizer.json

@@ -2,7 +2,7 @@
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   "truncation": {
     "direction": "Right",
-    "max_length": 512,
+    "max_length": 142,
     "strategy": "LongestFirst",
     "stride": 0
   },
@@ -88,6 +88,7 @@
     "end_of_word_suffix": "",
     "fuse_unk": false,
     "byte_fallback": false,
+    "ignore_merges": false,
     "vocab": {
       "<s>": 0,
       "<pad>": 1,

tokenizer_config.json

@@ -48,7 +48,7 @@
   "eos_token": "</s>",
   "errors": "replace",
   "mask_token": "<mask>",
-  "model_max_length": 1024,
+  "model_max_length": 1000000000000000019884624838656,
   "pad_token": "<pad>",
   "sep_token": "</s>",
   "tokenizer_class": "BartTokenizer",

training_args.bin

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