update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bart-text-simplification_1e4_adafactor_biendata
+  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. -->
+
+# bart-text-simplification_1e4_adafactor_biendata
+
+This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7599
+- Rouge1: 29.7176
+- Rouge2: 10.9512
+- Rougel: 25.5101
+- Rougelsum: 25.526
+- Gen Len: 15.2029
+
+## 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: 64
+- eval_batch_size: 64
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 232  | 0.5813          | 30.604  | 12.4253 | 26.5172 | 26.4807   | 15.2241 |
+| No log        | 2.0   | 464  | 0.5739          | 31.9076 | 12.798  | 27.4728 | 27.4929   | 15.2241 |
+| 1.0176        | 3.0   | 696  | 0.5700          | 31.3776 | 12.2852 | 27.1116 | 27.0878   | 15.6459 |
+| 1.0176        | 4.0   | 928  | 0.5762          | 30.8731 | 12.3014 | 26.9196 | 26.8301   | 14.6353 |
+| 0.4798        | 5.0   | 1160 | 0.5863          | 29.927  | 11.7166 | 25.9447 | 25.921    | 14.4297 |
+| 0.4798        | 6.0   | 1392 | 0.6003          | 29.9528 | 11.2098 | 25.6908 | 25.7209   | 14.7414 |
+| 0.3855        | 7.0   | 1624 | 0.6179          | 30.1161 | 11.2863 | 26.1433 | 26.1519   | 15.1698 |
+| 0.3855        | 8.0   | 1856 | 0.6290          | 29.5566 | 11.1229 | 25.6003 | 25.5754   | 14.87   |
+| 0.3092        | 9.0   | 2088 | 0.6538          | 29.7844 | 11.2434 | 25.8222 | 25.8067   | 14.9708 |
+| 0.3092        | 10.0  | 2320 | 0.6698          | 28.9941 | 10.6603 | 25.0054 | 25.0198   | 15.0239 |
+| 0.247         | 11.0  | 2552 | 0.6906          | 28.732  | 10.4525 | 24.8897 | 24.8953   | 14.9721 |
+| 0.247         | 12.0  | 2784 | 0.7023          | 29.0609 | 10.4762 | 24.9678 | 24.9893   | 15.317  |
+| 0.198         | 13.0  | 3016 | 0.7200          | 29.9516 | 11.2397 | 25.7347 | 25.7489   | 15.1485 |
+| 0.198         | 14.0  | 3248 | 0.7263          | 29.1565 | 10.7363 | 25.2238 | 25.203    | 14.9761 |
+| 0.198         | 15.0  | 3480 | 0.7376          | 30.0068 | 11.2078 | 26.0012 | 26.0235   | 14.9589 |
+| 0.1602        | 16.0  | 3712 | 0.7489          | 29.8747 | 11.0555 | 25.7321 | 25.7543   | 15.2931 |
+| 0.1602        | 17.0  | 3944 | 0.7487          | 29.6901 | 10.8692 | 25.5467 | 25.5808   | 15.2798 |
+| 0.1342        | 18.0  | 4176 | 0.7553          | 29.5496 | 10.8611 | 25.2895 | 25.3218   | 15.3156 |
+| 0.1342        | 19.0  | 4408 | 0.7590          | 29.7733 | 11.1577 | 25.671  | 25.6883   | 15.1313 |
+| 0.1184        | 20.0  | 4640 | 0.7599          | 29.7176 | 10.9512 | 25.5101 | 25.526    | 15.2029 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3