update model card README.md

README.md

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+---
+license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+model-index:
+- name: output
+  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. -->
+
+# output
+
+This model is a fine-tuned version of [Babelscape/rebel-large](https://huggingface.co/Babelscape/rebel-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3052
+- Precision: 0.9444
+- Recall: 0.9444
+- F1-measure: 0.9444
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 16
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1-measure |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:----------:|
+| No log        | 1.0   | 210  | 0.3113          | 0.9167    | 0.9167 | 0.9167     |
+| No log        | 2.0   | 420  | 0.3027          | 0.9444    | 0.9444 | 0.9444     |
+| 0.3652        | 3.0   | 630  | 0.3052          | 0.9444    | 0.9444 | 0.9444     |
+
+
+### Framework versions
+
+- Transformers 4.21.1
+- Pytorch 1.9.0+cu111
+- Datasets 2.4.0
+- Tokenizers 0.12.1