update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-text-simplification_1e4_adafactor
+  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. -->
+
+# t5-text-simplification_1e4_adafactor
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4541
+- Rouge1: 63.482
+- Rouge2: 46.0572
+- Rougel: 58.7168
+- Rougelsum: 58.691
+- Gen Len: 18.1518
+
+## 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: 0.0001
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.5806        | 1.0   | 582   | 0.4611          | 63.4316 | 45.9106 | 58.8265 | 58.7225   | 18.2723 |
+| 0.5615        | 2.0   | 1164  | 0.4597          | 63.4805 | 46.0473 | 58.8515 | 58.7755   | 18.2304 |
+| 0.5478        | 3.0   | 1746  | 0.4569          | 63.582  | 46.4341 | 58.9334 | 58.9024   | 18.2251 |
+| 0.5418        | 4.0   | 2328  | 0.4563          | 63.3978 | 46.3386 | 58.7994 | 58.7682   | 18.1937 |
+| 0.5358        | 5.0   | 2910  | 0.4557          | 63.3056 | 46.0741 | 58.9362 | 58.9063   | 18.1675 |
+| 0.5304        | 6.0   | 3492  | 0.4555          | 63.2044 | 45.9513 | 58.6796 | 58.6155   | 18.1414 |
+| 0.5219        | 7.0   | 4074  | 0.4546          | 63.3451 | 46.0504 | 58.7905 | 58.7105   | 18.1937 |
+| 0.5188        | 8.0   | 4656  | 0.4552          | 63.1977 | 46.04   | 58.6804 | 58.6152   | 18.178  |
+| 0.5152        | 9.0   | 5238  | 0.4546          | 63.2055 | 45.926  | 58.5223 | 58.5038   | 18.1885 |
+| 0.5113        | 10.0  | 5820  | 0.4537          | 63.4876 | 46.3268 | 58.8035 | 58.7711   | 18.1937 |
+| 0.5135        | 11.0  | 6402  | 0.4548          | 63.0435 | 45.5796 | 58.4433 | 58.3963   | 18.1414 |
+| 0.5074        | 12.0  | 6984  | 0.4545          | 63.2951 | 45.7406 | 58.5712 | 58.4938   | 18.1518 |
+| 0.5061        | 13.0  | 7566  | 0.4543          | 63.3588 | 46.169  | 58.661  | 58.6234   | 18.1832 |
+| 0.5026        | 14.0  | 8148  | 0.4543          | 63.3304 | 46.0553 | 58.5952 | 58.5745   | 18.1832 |
+| 0.5021        | 15.0  | 8730  | 0.4542          | 63.3378 | 45.8684 | 58.605  | 58.5854   | 18.1518 |
+| 0.5016        | 16.0  | 9312  | 0.4537          | 63.478  | 46.0719 | 58.7172 | 58.6834   | 18.1885 |
+| 0.4995        | 17.0  | 9894  | 0.4538          | 63.5111 | 46.0395 | 58.7451 | 58.7191   | 18.1571 |
+| 0.5009        | 18.0  | 10476 | 0.4539          | 63.5128 | 46.0939 | 58.7491 | 58.7169   | 18.1571 |
+| 0.4982        | 19.0  | 11058 | 0.4541          | 63.4593 | 46.0379 | 58.7067 | 58.6801   | 18.1518 |
+| 0.4977        | 20.0  | 11640 | 0.4541          | 63.482  | 46.0572 | 58.7168 | 58.691    | 18.1518 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3