End of training

README.md

@@ -1,10 +1,8 @@
 ---
-license: apache-2.0
-base_model: t5-small
+license: bsd-3-clause
+base_model: pszemraj/led-base-book-summary
 tags:
 - generated_from_trainer
-metrics:
-- rouge
 model-index:
 - name: my_awesome_billsum_model
   results: []
@@ -15,14 +13,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_awesome_billsum_model
 
-This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
+This model is a fine-tuned version of [pszemraj/led-base-book-summary](https://huggingface.co/pszemraj/led-base-book-summary) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8717
-- Rouge1: 0.1003
-- Rouge2: 0.0529
-- Rougel: 0.0944
-- Rougelsum: 0.0946
-- Gen Len: 19.0
+- eval_loss: 10.3881
+- eval_runtime: 4.3575
+- eval_samples_per_second: 11.934
+- eval_steps_per_second: 11.934
+- epoch: 1.0
+- step: 204
 
 ## Model description
 
@@ -41,74 +39,18 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
-- seed: 42
+- learning_rate: 0.00036271229920441326
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 23
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 50
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 15   | 4.4926          | 0.0669 | 0.0329 | 0.0614 | 0.0607    | 19.0    |
-| No log        | 2.0   | 30   | 3.7442          | 0.0768 | 0.0345 | 0.0697 | 0.0692    | 19.0    |
-| No log        | 3.0   | 45   | 3.4920          | 0.0818 | 0.0375 | 0.072  | 0.0717    | 19.0    |
-| No log        | 4.0   | 60   | 3.3214          | 0.0928 | 0.0506 | 0.0841 | 0.0842    | 19.0    |
-| No log        | 5.0   | 75   | 3.1638          | 0.0954 | 0.0517 | 0.0868 | 0.0867    | 19.0    |
-| No log        | 6.0   | 90   | 3.0284          | 0.105  | 0.0598 | 0.0964 | 0.0961    | 19.0    |
-| No log        | 7.0   | 105  | 2.9106          | 0.1039 | 0.0587 | 0.0956 | 0.0951    | 19.0    |
-| No log        | 8.0   | 120  | 2.8210          | 0.1029 | 0.0587 | 0.095  | 0.0946    | 19.0    |
-| No log        | 9.0   | 135  | 2.7338          | 0.108  | 0.0655 | 0.1016 | 0.1008    | 19.0    |
-| No log        | 10.0  | 150  | 2.6612          | 0.1078 | 0.0656 | 0.1031 | 0.1031    | 19.0    |
-| No log        | 11.0  | 165  | 2.5973          | 0.1088 | 0.066  | 0.1038 | 0.1043    | 19.0    |
-| No log        | 12.0  | 180  | 2.5455          | 0.112  | 0.0676 | 0.1072 | 0.1074    | 19.0    |
-| No log        | 13.0  | 195  | 2.4925          | 0.1164 | 0.0694 | 0.1101 | 0.1107    | 19.0    |
-| No log        | 14.0  | 210  | 2.4458          | 0.1151 | 0.0696 | 0.1095 | 0.1101    | 19.0    |
-| No log        | 15.0  | 225  | 2.4013          | 0.1107 | 0.066  | 0.105  | 0.1058    | 19.0    |
-| No log        | 16.0  | 240  | 2.3636          | 0.1136 | 0.0668 | 0.1084 | 0.1089    | 19.0    |
-| No log        | 17.0  | 255  | 2.3236          | 0.1144 | 0.0654 | 0.1079 | 0.1083    | 19.0    |
-| No log        | 18.0  | 270  | 2.2813          | 0.116  | 0.0664 | 0.1104 | 0.1103    | 19.0    |
-| No log        | 19.0  | 285  | 2.2396          | 0.1101 | 0.0618 | 0.104  | 0.1047    | 19.0    |
-| No log        | 20.0  | 300  | 2.1998          | 0.1109 | 0.0626 | 0.1048 | 0.1055    | 19.0    |
-| No log        | 21.0  | 315  | 2.1595          | 0.1121 | 0.062  | 0.1049 | 0.1059    | 19.0    |
-| No log        | 22.0  | 330  | 2.1235          | 0.1111 | 0.0613 | 0.1043 | 0.1053    | 19.0    |
-| No log        | 23.0  | 345  | 2.0830          | 0.1154 | 0.0631 | 0.1099 | 0.1109    | 19.0    |
-| No log        | 24.0  | 360  | 2.0472          | 0.1094 | 0.0588 | 0.1037 | 0.1043    | 19.0    |
-| No log        | 25.0  | 375  | 2.0207          | 0.1103 | 0.0591 | 0.1053 | 0.1062    | 19.0    |
-| No log        | 26.0  | 390  | 1.9972          | 0.1037 | 0.0546 | 0.0999 | 0.1       | 19.0    |
-| No log        | 27.0  | 405  | 1.9808          | 0.1059 | 0.0531 | 0.099  | 0.0995    | 19.0    |
-| No log        | 28.0  | 420  | 1.9684          | 0.1074 | 0.0557 | 0.0998 | 0.1       | 19.0    |
-| No log        | 29.0  | 435  | 1.9560          | 0.1076 | 0.0563 | 0.0999 | 0.1001    | 19.0    |
-| No log        | 30.0  | 450  | 1.9452          | 0.1069 | 0.054  | 0.0991 | 0.0994    | 19.0    |
-| No log        | 31.0  | 465  | 1.9346          | 0.1042 | 0.0531 | 0.0968 | 0.097     | 19.0    |
-| No log        | 32.0  | 480  | 1.9259          | 0.1064 | 0.0558 | 0.0997 | 0.1       | 19.0    |
-| No log        | 33.0  | 495  | 1.9198          | 0.1056 | 0.0559 | 0.1003 | 0.1005    | 19.0    |
-| 2.8916        | 34.0  | 510  | 1.9138          | 0.1052 | 0.0559 | 0.0994 | 0.0996    | 19.0    |
-| 2.8916        | 35.0  | 525  | 1.9080          | 0.1012 | 0.0523 | 0.0954 | 0.0958    | 19.0    |
-| 2.8916        | 36.0  | 540  | 1.9006          | 0.101  | 0.0532 | 0.0957 | 0.0961    | 19.0    |
-| 2.8916        | 37.0  | 555  | 1.8964          | 0.0999 | 0.0528 | 0.0944 | 0.0947    | 19.0    |
-| 2.8916        | 38.0  | 570  | 1.8920          | 0.1003 | 0.0534 | 0.0948 | 0.0951    | 19.0    |
-| 2.8916        | 39.0  | 585  | 1.8884          | 0.1003 | 0.0534 | 0.0948 | 0.0951    | 19.0    |
-| 2.8916        | 40.0  | 600  | 1.8856          | 0.1003 | 0.0534 | 0.0948 | 0.0952    | 19.0    |
-| 2.8916        | 41.0  | 615  | 1.8827          | 0.1002 | 0.0528 | 0.0943 | 0.0945    | 19.0    |
-| 2.8916        | 42.0  | 630  | 1.8808          | 0.1016 | 0.0528 | 0.095  | 0.0955    | 19.0    |
-| 2.8916        | 43.0  | 645  | 1.8790          | 0.1016 | 0.0528 | 0.095  | 0.0956    | 19.0    |
-| 2.8916        | 44.0  | 660  | 1.8767          | 0.1016 | 0.0528 | 0.095  | 0.0956    | 19.0    |
-| 2.8916        | 45.0  | 675  | 1.8753          | 0.1016 | 0.0528 | 0.0951 | 0.0956    | 19.0    |
-| 2.8916        | 46.0  | 690  | 1.8738          | 0.1016 | 0.0528 | 0.0951 | 0.0956    | 19.0    |
-| 2.8916        | 47.0  | 705  | 1.8729          | 0.1016 | 0.0528 | 0.0951 | 0.0956    | 19.0    |
-| 2.8916        | 48.0  | 720  | 1.8724          | 0.1003 | 0.0529 | 0.0944 | 0.0946    | 19.0    |
-| 2.8916        | 49.0  | 735  | 1.8718          | 0.1003 | 0.0529 | 0.0944 | 0.0946    | 19.0    |
-| 2.8916        | 50.0  | 750  | 1.8717          | 0.1003 | 0.0529 | 0.0944 | 0.0946    | 19.0    |
-
-
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.39.3
 - Pytorch 2.1.2
-- Datasets 2.1.0
+- Datasets 2.18.0
 - Tokenizers 0.15.2

config.json

@@ -1,61 +1,60 @@
 {
-  "_name_or_path": "t5-small",
+  "_name_or_path": "pszemraj/led-base-book-summary",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
   "architectures": [
-    "T5ForConditionalGeneration"
+    "LEDForConditionalGeneration"
   ],
+  "attention_dropout": 0.0,
+  "attention_window": [
+    1024,
+    1024,
+    1024,
+    1024,
+    1024,
+    1024
+  ],
+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
   "classifier_dropout": 0.0,
-  "d_ff": 2048,
-  "d_kv": 64,
-  "d_model": 512,
-  "decoder_start_token_id": 0,
-  "dense_act_fn": "relu",
-  "dropout_rate": 0.1,
-  "eos_token_id": 1,
-  "feed_forward_proj": "relu",
-  "initializer_factor": 1.0,
+  "d_model": 768,
+  "decoder_attention_heads": 12,
+  "decoder_ffn_dim": 3072,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "early_stopping": true,
+  "encoder_attention_heads": 12,
+  "encoder_ffn_dim": 3072,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 2,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
   "is_encoder_decoder": true,
-  "is_gated_act": false,
-  "layer_norm_epsilon": 1e-06,
-  "model_type": "t5",
-  "n_positions": 512,
-  "num_decoder_layers": 6,
-  "num_heads": 8,
-  "num_layers": 6,
-  "output_past": true,
-  "pad_token_id": 0,
-  "relative_attention_max_distance": 128,
-  "relative_attention_num_buckets": 32,
-  "task_specific_params": {
-    "summarization": {
-      "early_stopping": true,
-      "length_penalty": 2.0,
-      "max_length": 200,
-      "min_length": 30,
-      "no_repeat_ngram_size": 3,
-      "num_beams": 4,
-      "prefix": "summarize: "
-    },
-    "translation_en_to_de": {
-      "early_stopping": true,
-      "max_length": 300,
-      "num_beams": 4,
-      "prefix": "translate English to German: "
-    },
-    "translation_en_to_fr": {
-      "early_stopping": true,
-      "max_length": 300,
-      "num_beams": 4,
-      "prefix": "translate English to French: "
-    },
-    "translation_en_to_ro": {
-      "early_stopping": true,
-      "max_length": 300,
-      "num_beams": 4,
-      "prefix": "translate English to Romanian: "
-    }
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
   },
+  "length_penalty": 0.8,
+  "max_decoder_position_embeddings": 1024,
+  "max_encoder_position_embeddings": 16384,
+  "max_length": 1024,
+  "min_length": 8,
+  "model_type": "led",
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "repetition_penalty": 3.5,
   "torch_dtype": "float32",
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.39.3",
   "use_cache": true,
-  "vocab_size": 32128
+  "vocab_size": 50265
 }

generation_config.json

@@ -1,6 +1,15 @@
 {
-  "decoder_start_token_id": 0,
-  "eos_token_id": 1,
-  "pad_token_id": 0,
-  "transformers_version": "4.38.2"
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "length_penalty": 0.8,
+  "max_length": 1024,
+  "min_length": 8,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "repetition_penalty": 3.5,
+  "transformers_version": "4.39.3"
 }

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