End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+datasets:
+- fairytale_qa
+metrics:
+- rouge
+- f1
+model-index:
+- name: t5-small-finetuned-FairytaleQA-AnswerExtraction
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: fairytale_qa
+      type: fairytale_qa
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 10.7124
+    - name: F1
+      type: f1
+      value: 0.2626
+---
+
+<!-- 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. -->
+
+# t5-small-finetuned-FairytaleQA-AnswerExtraction
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the fairytale_qa dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0695
+- Rouge1: 10.7124
+- Rouge2: 3.2292
+- Rougel: 10.375
+- Rougelsum: 10.3824
+- F1: 0.2626
+- Exact Match: 0.4878
+- Gen Len: 11.9668
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | F1     | Exact Match | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:------:|:-----------:|:-------:|
+| 0.0777        | 1.0   | 2137  | 0.0727          | 11.076  | 3.0967 | 10.6128 | 10.6396   | 0.1301 | 0.3902      | 12.522  |
+| 0.0727        | 2.0   | 4274  | 0.0707          | 11.288  | 3.2828 | 10.9125 | 10.9225   | 0.152  | 0.4878      | 12.161  |
+| 0.0696        | 3.0   | 6411  | 0.0699          | 10.7512 | 3.3182 | 10.406  | 10.4123   | 0.2626 | 0.4878      | 12.1122 |
+| 0.0719        | 4.0   | 8548  | 0.0696          | 10.803  | 3.2133 | 10.4337 | 10.4223   | 0.2626 | 0.4878      | 11.9698 |
+| 0.07          | 5.0   | 10685 | 0.0695          | 10.7124 | 3.2292 | 10.375  | 10.3824   | 0.2626 | 0.4878      | 11.9668 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.4"
+}

runs/Aug12_03-56-44_05f3f4260baf/events.out.tfevents.1723435004.05f3f4260baf.369.1

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