Model save

README.md

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+---
+license: mit
+base_model: facebook/mbart-large-50
+tags:
+- generated_from_trainer
+model-index:
+- name: mbart50-qg-aas
+  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. -->
+
+# mbart50-qg-aas
+
+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: 5.1971
+
+## 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: 0.005
+- train_batch_size: 64
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 7.1258        | 1.0   | 808  | 8.0165          |
+| 5.7857        | 2.0   | 1616 | 7.2193          |
+| 4.6138        | 3.0   | 2424 | 6.4846          |
+| 3.6997        | 4.0   | 3232 | 5.7332          |
+| 3.0051        | 5.0   | 4040 | 5.1971          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.0
+- Datasets 2.15.0
+- Tokenizers 0.15.0