update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: moussaKam/barthez-orangesum-abstract
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: barthez-orange-ft
+  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. -->
+
+# barthez-orange-ft
+
+This model is a fine-tuned version of [moussaKam/barthez-orangesum-abstract](https://huggingface.co/moussaKam/barthez-orangesum-abstract) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.5955
+- Rouge1: 0.7166
+- Rouge2: 0.7001
+- Rougel: 0.7163
+- Rougelsum: 0.7161
+- Gen Len: 20.0
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 0.96  | 12   | 9.5195          | 0.7166 | 0.7001 | 0.7163 | 0.7161    | 20.0    |
+| No log        | 2.0   | 25   | 8.0721          | 0.7166 | 0.7001 | 0.7163 | 0.7161    | 20.0    |
+| No log        | 2.88  | 36   | 7.5955          | 0.7166 | 0.7001 | 0.7163 | 0.7161    | 20.0    |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.13.3