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_recommendation_jobs
+  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_recommendation_jobs
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5136
+- Rouge1: 61.4539
+- Rouge2: 35.8407
+- Rougel: 61.0072
+- Rougelsum: 61.0251
+- Gen Len: 4.0796
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 0.97  | 8    | 0.4263          | 59.6302 | 33.5251 | 59.0023 | 59.1277   | 4.0973  |
+| No log        | 1.94  | 16   | 0.4339          | 59.1603 | 34.6165 | 58.6462 | 58.6462   | 4.0796  |
+| No log        | 2.91  | 24   | 0.4536          | 58.6452 | 35.4130 | 58.0788 | 58.0080   | 4.1593  |
+| No log        | 4.0   | 33   | 0.4584          | 59.7040 | 35.4130 | 59.3226 | 59.1646   | 4.0531  |
+| No log        | 4.97  | 41   | 0.4627          | 61.6962 | 38.1121 | 61.3938 | 61.2684   | 4.0531  |
+| No log        | 5.94  | 49   | 0.4677          | 61.3496 | 36.9027 | 60.8776 | 60.8175   | 4.0     |
+| No log        | 6.91  | 57   | 0.4716          | 60.6511 | 35.8997 | 59.9610 | 59.9758   | 4.0885  |
+| No log        | 8.0   | 66   | 0.4925          | 60.4003 | 34.9558 | 60.0000 | 59.9779   | 4.0177  |
+| No log        | 8.97  | 74   | 0.4905          | 57.9340 | 32.9499 | 57.5432 | 57.6117   | 4.0265  |
+| No log        | 9.94  | 82   | 0.4951          | 60.5120 | 35.7965 | 59.7777 | 59.9842   | 4.1062  |
+| No log        | 10.91 | 90   | 0.5053          | 61.3885 | 37.2566 | 60.9166 | 61.0862   | 4.0973  |
+| No log        | 12.0  | 99   | 0.5131          | 61.1473 | 35.6637 | 60.3666 | 60.4867   | 4.1593  |
+| No log        | 12.97 | 107  | 0.5180          | 59.8736 | 33.5398 | 59.2225 | 59.2162   | 4.1062  |
+| No log        | 13.94 | 115  | 0.5224          | 61.8163 | 36.6667 | 61.3812 | 61.4138   | 4.0708  |
+| No log        | 14.55 | 120  | 0.5136          | 61.4539 | 35.8407 | 61.0072 | 61.0251   | 4.0796  |
+
+
+### Framework versions
+
+- Transformers 4.27.0
+- Pytorch 2.1.2
+- Datasets 2.8.0
+- Tokenizers 0.13.3