End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+datasets:
+- xsum
+metrics:
+- rouge
+model-index:
+- name: t5-small-finetuned-xsum
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: xsum
+      type: xsum
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 26.2006
+---
+
+<!-- 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-xsum
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6282
+- Rouge1: 26.2006
+- Rouge2: 6.4986
+- Rougel: 20.4525
+- Rougelsum: 20.4233
+- Gen Len: 18.791
+
+## 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 3.0796        | 1.0   | 500  | 2.6971          | 23.5102 | 5.0088 | 18.4369 | 18.4317   | 18.719  |
+| 2.8953        | 2.0   | 1000 | 2.6563          | 25.1823 | 5.9526 | 19.6696 | 19.6505   | 18.779  |
+| 2.8527        | 3.0   | 1500 | 2.6393          | 25.7775 | 6.2129 | 20.1822 | 20.1652   | 18.79   |
+| 2.8301        | 4.0   | 2000 | 2.6307          | 25.899  | 6.2538 | 20.2373 | 20.222    | 18.802  |
+| 2.8158        | 5.0   | 2500 | 2.6282          | 26.2006 | 6.4986 | 20.4525 | 20.4233   | 18.791  |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- 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": "4.44.2"
+}

runs/Sep09_09-03-04_22ebdb8bd302/events.out.tfevents.1725872605.22ebdb8bd302.308.0

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