update model card README.md

README.md

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+---
+license: mit
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mbart-large-50-finetuned-stocks-event-3
+  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. -->
+
+# mbart-large-50-finetuned-stocks-event-3
+
+This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2914
+- 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: 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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 5.4797        | 1.0   | 29   | 1.7775          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.5482        | 2.0   | 58   | 0.6397          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.3064        | 3.0   | 87   | 0.3303          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.1991        | 4.0   | 116  | 0.2728          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.1673        | 5.0   | 145  | 0.2764          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.1513        | 6.0   | 174  | 0.3056          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.145         | 7.0   | 203  | 0.2939          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 0.0741        | 8.0   | 232  | 0.2914          | 0.0    | 0.0    | 0.0    | 0.0       |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2