End of training

README.md

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+---
+license: mit
+base_model: facebook/bart-large-mnli
+tags:
+- generated_from_trainer
+model-index:
+- name: finetuned-bart-large-mnli-Kaggle-Science-LLM
+  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. -->
+
+# finetuned-bart-large-mnli-Kaggle-Science-LLM
+
+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: 1.7806
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 200  | 0.4985          |
+| No log        | 2.0   | 400  | 0.4977          |
+| 0.624         | 3.0   | 600  | 0.5174          |
+| 0.624         | 4.0   | 800  | 0.7571          |
+| 0.5393        | 5.0   | 1000 | 1.7806          |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3