End of training

README.md

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+---
+license: other
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: facebook/opt-1.3b
+metrics:
+- accuracy
+model-index:
+- name: opt-1.3b-finetuned-mnli-nn
+  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. -->
+
+# opt-1.3b-finetuned-mnli-nn
+
+This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8505
+- Accuracy: 0.5201
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 1    | 0.8826          | 0.5192   |
+| No log        | 2.0   | 2    | 0.8740          | 0.5195   |
+| No log        | 3.0   | 3    | 0.8665          | 0.5198   |
+| No log        | 4.0   | 4    | 0.8601          | 0.5210   |
+| No log        | 5.0   | 5    | 0.8548          | 0.5207   |
+| No log        | 6.0   | 6    | 0.8505          | 0.5214   |
+| No log        | 7.0   | 7    | 0.8470          | 0.5216   |
+| No log        | 8.0   | 8    | 0.8447          | 0.5214   |
+| No log        | 9.0   | 9    | 0.8431          | 0.5213   |
+| No log        | 10.0  | 10   | 0.8423          | 0.5211   |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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