Model save

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+datasets:
+- wikihow
+metrics:
+- rouge
+model-index:
+- name: wikihow_t5small_model
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: wikihow
+      type: wikihow
+      config: all
+      split: test
+      args: all
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.2067
+---
+
+<!-- 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. -->
+
+# wikihow_t5small_model
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikihow dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9412
+- Rouge1: 0.2067
+- Rouge2: 0.0618
+- Rougel: 0.17
+- Rougelsum: 0.1698
+- Gen Len: 18.864
+
+## 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 3.4224        | 1.0   | 1250 | 3.0417          | 0.2045 | 0.0591 | 0.1659 | 0.1657    | 18.873  |
+| 3.2253        | 2.0   | 2500 | 2.9721          | 0.2052 | 0.0603 | 0.168  | 0.1678    | 18.858  |
+| 3.1943        | 3.0   | 3750 | 2.9477          | 0.2075 | 0.0621 | 0.1704 | 0.1701    | 18.876  |
+| 3.1793        | 4.0   | 5000 | 2.9412          | 0.2067 | 0.0618 | 0.17   | 0.1698    | 18.864  |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

runs/Dec07_02-44-06_f2c9fe17c0b3/events.out.tfevents.1701917052.f2c9fe17c0b3.7831.0

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