update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: bart-large-cnn-100-lit-evalMA
+  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-large-cnn-100-lit-evalMA
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 2.1514
+- eval_rouge1: 27.8026
+- eval_rouge2: 11.2998
+- eval_rougeL: 21.4708
+- eval_rougeLsum: 24.6333
+- eval_gen_len: 62.5
+- eval_runtime: 25.6587
+- eval_samples_per_second: 0.39
+- eval_steps_per_second: 0.39
+- epoch: 2.0
+- step: 200
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 1.10.2
+- Datasets 1.18.3
+- Tokenizers 0.11.0