update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- Poet
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-ibn-Shaddad-v4
+  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. -->
+
+# mt5-small-ibn-Shaddad-v4
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9233
+- Rouge1: 0.0
+- Rouge2: 0.0
+- Rougel: 0.0
+- Rougelsum: 0.0
+
+## 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: 5.6e-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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 5.0001        | 1.0   | 935  | 3.1102          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 3.4066        | 2.0   | 1870 | 2.9836          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 3.2832        | 3.0   | 2805 | 2.9384          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 3.2334        | 4.0   | 3740 | 2.9233          | 0.0    | 0.0    | 0.0    | 0.0       |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.12.0+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1