Training complete

README.md

@@ -0,0 +1,70 @@
+---
+tags:
+- summarization
+- generated_from_trainer
+model-index:
+- name: led-risalah_data_v13
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# led-risalah_data_v13
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5198
+- Rouge1 Precision: 0.4184
+- Rouge1 Recall: 0.4032
+- Rouge1 Fmeasure: 0.4092
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rouge1 Fmeasure | Rouge1 Precision | Rouge1 Recall |
+|:-------------:|:------:|:----:|:---------------:|:---------------:|:----------------:|:-------------:|
+| 3.1517        | 0.9714 | 17   | 2.3560          | 0.2698          | 0.277            | 0.2642        |
+| 2.2618        | 2.0    | 35   | 2.1487          | 0.3183          | 0.3295           | 0.3091        |
+| 1.9714        | 2.9714 | 52   | 2.0826          | 0.3383          | 0.358            | 0.3226        |
+| 1.8991        | 4.0    | 70   | 2.0284          | 0.34            | 0.3579           | 0.3248        |
+| 1.7713        | 4.9714 | 87   | 1.9871          | 0.3667          | 0.3744           | 0.3602        |
+| 1.7889        | 6.0    | 105  | 1.9714          | 0.3614          | 0.3729           | 0.3521        |
+| 1.6378        | 6.9714 | 122  | 1.9481          | 0.3589          | 0.3762           | 0.3461        |
+| 1.5649        | 8.0    | 140  | 1.9426          | 0.3657          | 0.3802           | 0.3545        |
+| 1.5157        | 8.9714 | 157  | 1.9349          | 0.3667          | 0.375            | 0.361         |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "allenai/led-base-16384",
+  "_name_or_path": "/kaggle/working/led-risalah_data_v13/checkpoint-170",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
   "architectures": [

generation_config.json

@@ -0,0 +1,14 @@
+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "length_penalty": 2.0,
+  "max_length": 512,
+  "min_length": 128,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.41.2",
+  "use_cache": false
+}

runs/Jul09_18-45-52_864735bf797e/events.out.tfevents.1720550758.864735bf797e.310.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:034c8ff97ac368feda37aafea39b87a79868b828fad71f8571a05e66cc837426
+size 5997

runs/Jul09_18-45-52_864735bf797e/events.out.tfevents.1720552077.864735bf797e.310.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac82d699081f1bc512b21772d06c36d8a53fbed2c822d448a531aaf72c382c5c
+size 535

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7526623170e38ddd1f83dac564238371aa48916a7804a15205a66eb3767370f3
+oid sha256:b042b8156ac2641acb4c5d6fa54dba916159f09a421fdb4e5355300ba8189c22
 size 5240