Training complete

README.md

@@ -0,0 +1,86 @@
+---
+license: mit
+base_model: facebook/bart-large-cnn
+tags:
+- summarization
+- generated_from_trainer
+datasets:
+- tldr_news
+metrics:
+- rouge
+model-index:
+- name: my_summ
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: tldr_news
+      type: tldr_news
+      config: all
+      split: test
+      args: all
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.21647643221587914
+---
+
+<!-- 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. -->
+
+# my_summ
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the tldr_news dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.1133
+- Rouge1: 0.2165
+- Rouge2: 0.0872
+- Rougel: 0.1846
+- Rougelsum: 0.1881
+
+## 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: 5.6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 2.2607        | 1.0   | 125  | 2.2706          | 0.2318 | 0.0950 | 0.1983 | 0.2024    |
+| 1.1698        | 2.0   | 250  | 2.3624          | 0.2150 | 0.0848 | 0.1828 | 0.1856    |
+| 0.5798        | 3.0   | 375  | 2.8369          | 0.2144 | 0.0838 | 0.1802 | 0.1848    |
+| 0.2813        | 4.0   | 500  | 3.3045          | 0.2112 | 0.0803 | 0.1788 | 0.1821    |
+| 0.1544        | 5.0   | 625  | 3.6092          | 0.2096 | 0.0793 | 0.1780 | 0.1838    |
+| 0.0862        | 6.0   | 750  | 3.7615          | 0.2168 | 0.0848 | 0.1851 | 0.1881    |
+| 0.0518        | 7.0   | 875  | 3.9039          | 0.2180 | 0.0861 | 0.1842 | 0.1873    |
+| 0.0253        | 8.0   | 1000 | 4.1133          | 0.2165 | 0.0872 | 0.1846 | 0.1881    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

generation_config.json

@@ -0,0 +1,15 @@
+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "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": "4.35.2"
+}

runs/Jan24_17-08-27_294ba0992ef9/events.out.tfevents.1706116352.294ba0992ef9.2260.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:869fd9bdb6f5749d0b6cacfb67f11fe57847f79f86f5a33c970a62bfb1e2ebb5
-size 9899
+oid sha256:b9ded811dde11494ba7c94d295abd4baf554882519a805a08a4ea1cf6605ec3a
+size 10727

runs/Jan24_17-08-27_294ba0992ef9/events.out.tfevents.1706118960.294ba0992ef9.2260.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe2010a9da34153f56b868a7ae0fe694b1560dfc20d349431668e750b40a1fcc
+size 562