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:
+- big_patent
+metrics:
+- rouge
+model-index:
+- name: my_T5_summarization_model
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: big_patent
+      type: big_patent
+      config: f
+      split: validation
+      args: f
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.2277
+---
+
+<!-- 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_T5_summarization_model
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the big_patent dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9477
+- Rouge1: 0.2277
+- Rouge2: 0.1286
+- Rougel: 0.1988
+- Rougelsum: 0.1988
+- 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.156         | 1.0   | 5348  | 2.0181          | 0.2264 | 0.1267 | 0.1971 | 0.1972    | 19.0    |
+| 2.1095        | 2.0   | 10696 | 1.9737          | 0.227  | 0.1276 | 0.1977 | 0.1978    | 19.0    |
+| 2.0867        | 3.0   | 16044 | 1.9545          | 0.2277 | 0.1285 | 0.1987 | 0.1988    | 19.0    |
+| 2.0577        | 4.0   | 21392 | 1.9477          | 0.2277 | 0.1286 | 0.1988 | 0.1988    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- 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/Nov04_22-34-04_c31ba3ae22e2/events.out.tfevents.1730759648.c31ba3ae22e2.1192.0

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