End of training

README.md

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+---
+license: apache-2.0
+base_model: google-t5/t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: Text_Summarization_model_15042024
+  results: []
+---
+
+<!-- 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. -->
+
+# Text_Summarization_model_15042024
+
+This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5948
+- Rouge1: 0.2374
+- Rouge2: 0.1905
+- Rougel: 0.2302
+- Rougelsum: 0.2302
+- 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.4344        | 0.5   | 500  | 1.9250          | 0.2184 | 0.1678 | 0.2088 | 0.2088    | 18.9925 |
+| 2.0598        | 1.0   | 1000 | 1.8118          | 0.2247 | 0.1755 | 0.2155 | 0.2155    | 18.9955 |
+| 1.9648        | 1.5   | 1500 | 1.7581          | 0.2303 | 0.1802 | 0.2206 | 0.2206    | 19.0    |
+| 1.9119        | 2.0   | 2000 | 1.7214          | 0.2315 | 0.1822 | 0.2221 | 0.2221    | 19.0    |
+| 1.8624        | 2.5   | 2500 | 1.6953          | 0.2337 | 0.185  | 0.2253 | 0.2253    | 19.0    |
+| 1.8508        | 3.0   | 3000 | 1.6769          | 0.2346 | 0.186  | 0.2266 | 0.2266    | 19.0    |
+| 1.8092        | 3.5   | 3500 | 1.6563          | 0.2353 | 0.1871 | 0.2278 | 0.2279    | 19.0    |
+| 1.8065        | 4.0   | 4000 | 1.6377          | 0.2359 | 0.188  | 0.2284 | 0.2284    | 19.0    |
+| 1.7724        | 4.5   | 4500 | 1.6309          | 0.237  | 0.1895 | 0.2297 | 0.2298    | 19.0    |
+| 1.7703        | 5.0   | 5000 | 1.6165          | 0.2376 | 0.1899 | 0.2302 | 0.2303    | 19.0    |
+| 1.7468        | 5.5   | 5500 | 1.6082          | 0.2374 | 0.1902 | 0.2303 | 0.2303    | 19.0    |
+| 1.7347        | 6.0   | 6000 | 1.5992          | 0.2374 | 0.1906 | 0.2303 | 0.2304    | 19.0    |
+| 1.7162        | 6.5   | 6500 | 1.5948          | 0.2374 | 0.1905 | 0.2302 | 0.2302    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.3"
+}