End of training

README.md

@@ -0,0 +1,82 @@
+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+datasets:
+- indosum
+metrics:
+- rouge
+model-index:
+- name: my_awesome_billsum_model
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: indosum
+      type: indosum
+      config: indosum_fold0_source
+      split: test
+      args: indosum_fold0_source
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.2065
+---
+
+<!-- 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_awesome_billsum_model
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the indosum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4806
+- Rouge1: 0.2065
+- Rouge2: 0.1639
+- Rougel: 0.2038
+- Rougelsum: 0.2038
+- Gen Len: 19.0
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 0.7495        | 1.0   | 892  | 0.5226          | 0.2061 | 0.1635 | 0.2033 | 0.2033    | 19.0    |
+| 0.5326        | 2.0   | 1784 | 0.4929          | 0.2063 | 0.1639 | 0.2037 | 0.2037    | 19.0    |
+| 0.4982        | 3.0   | 2676 | 0.4840          | 0.2065 | 0.1639 | 0.2038 | 0.2037    | 19.0    |
+| 0.4958        | 4.0   | 3568 | 0.4806          | 0.2065 | 0.1639 | 0.2038 | 0.2038    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.34.0"
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ef73a83e2a85c725a4396a95e2a87c5cebd5b4e197fa7a719942dbe2f2cf8964
+oid sha256:398309c314c976cdfc5417f797fa7b215f809cc9466bbfcefa3c1061596a5440
 size 242071641