update model card README.md

README.md

@@ -0,0 +1,59 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: refinement-finetuned-mnli-kaggle-reversal
+  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. -->
+
+# refinement-finetuned-mnli-kaggle-reversal
+
+This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0382
+
+## 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.4093        | 1.0   | 12599 | 0.7861          |
+| 0.5241        | 2.0   | 25198 | 0.9800          |
+| 0.4969        | 3.0   | 37797 | 1.0316          |
+| 0.4239        | 4.0   | 50396 | 1.0382          |
+
+
+### Framework versions
+
+- Transformers 4.22.2
+- Pytorch 1.10.0
+- Datasets 2.5.1
+- Tokenizers 0.12.1