readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  - summarization
  metrics:
  - rouge
  model-index:
  - name: mt5-small-finetuned-arxiv-cs-finetuned-arxiv-cs-full
    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-finetuned-arxiv-cs-finetuned-arxiv-cs-full
  
  This model is a fine-tuned version of [shamikbose89/mt5-small-finetuned-arxiv-cs](https://huggingface.co/shamikbose89/mt5-small-finetuned-arxiv-cs) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4037
  - Rouge1: 39.8923
  - Rouge2: 20.9831
  - Rougel: 35.8642
  - Rougelsum: 35.8511
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | 1.9675        | 1.0   | 500  | 1.5573          | 36.4989 | 18.4839 | 33.2984 | 33.2917   |
  | 1.7523        | 2.0   | 1000 | 1.4972          | 37.7911 | 19.0357 | 33.5725 | 33.6058   |
  | 1.6611        | 3.0   | 1500 | 1.4593          | 38.5822 | 19.4928 | 34.215  | 34.2531   |
  | 1.6187        | 4.0   | 2000 | 1.4492          | 39.1219 | 20.8705 | 35.1969 | 35.2255   |
  | 1.5864        | 5.0   | 2500 | 1.4289          | 39.7304 | 21.0654 | 35.6602 | 35.6667   |
  | 1.5553        | 6.0   | 3000 | 1.4184          | 40.0696 | 21.0883 | 35.9536 | 35.9132   |
  | 1.5215        | 7.0   | 3500 | 1.4163          | 39.1956 | 20.6757 | 35.5016 | 35.5196   |
  | 1.5038        | 8.0   | 4000 | 1.4148          | 39.2373 | 20.3114 | 35.1676 | 35.1532   |
  | 1.4929        | 9.0   | 4500 | 1.4064          | 39.9249 | 21.0155 | 35.8247 | 35.7937   |
  | 1.4791        | 10.0  | 5000 | 1.4037          | 39.8923 | 20.9831 | 35.8642 | 35.8511   |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.10.0+cu111
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  